1. The document presents a mathematical model for predicting Facebook impressions based on the number of actions (likes, shares, comments).
2. The model was applied to a theater company's Facebook page from August to September 2013. Increasing actions before and after a September 1st event led to more page views, matching the model's predictions.
3. Key factors in the model were the number of article updates, likes/shares, and total actions. The effect of actions on increasing page views (Cadv) was much higher after the event, showing the ongoing advertising effect of more actions.
Consideration of reputation prediction of ladygaga using the mathematical mod...ijma
A mathematical model for the hit phenomenon in entertainment within a society is presented as a stochastic
process of interactions of human dynamics. The calculations for the Japanese motion picture market based
on to the mathematical model agree very well with the actual residue distribution in time. LADYGAGA are
also analyzed using the data of SNS as well.
Consideration of Reputation Prediction of Ladygaga Using the Mathematical Mod...ijma
A mathematical model for the hit phenomenon in entertainment within a society is presented as a stochastic
process of interactions of human dynamics. The calculations for the Japanese motion picture market based
on to the mathematical model agree very well with the actual residue distribution in time. LADYGAGA are
also analyzed using the data of SNS as well.
ANALYSIS MUSIC CONCERTS ADOPTING THE MATHEMATICAL MODEL OF HIT PHENOMENAcscpconf
A mathematical model for the hit phenomenon in entertainment within a society is presented as
a stochastic process of interactions of human dynamics. In this paper, we analyzed music to the
concert.Knowing the cost of advertising the concert is difficult. But exposure to the media of the
artist can be seen. We tried to analysis of music concert itself by performing a prediction of
reputation of artists during the concert tour from this exposure.In this paper, The world most
popular rock band Coldplay is analyzed using the SNS data. L'Arc-en-Ciel of Japanese rock
band and LADYGAGA are also analyzed using the data of SNS as well.
ANALYSIS MUSIC CONCERTS ADOPTING THE MATHEMATICAL MODEL OF HIT PHENOMENAcsandit
A mathematical model for the hit phenomenon in entertainment within a society is presented as
a stochastic process of interactions of human dynamics. In this paper, we analyzed music to the
concert.Knowing the cost of advertising the concert is difficult. But exposure to the media of the
artist can be seen. We tried to analysis of music concert itself by performing a prediction of
reputation of artists during the concert tour from this exposure.In this paper, The world most
popular rock band Coldplay is analyzed using the SNS data. L'Arc-en-Ciel of Japanese rock
band and LADYGAGA are also analyzed using the data of SNS as well.
Project Business Case Project NameDate XXXXXXCompany Name.docxstilliegeorgiana
Project Business Case
Project Name
Date: XX/XX/XX
Company Name:
Sponsor’s Name:
Requestor’s Name:
Project Category: Infrastructure ModernizationProject Work Request – Part 1
Description of Project/Request/Service
(What does the project entail? What is being requested?)
Background and Detailed Description of Problem or Opportunity
(What is the problem or opportunity and what predicated it?)
Current Business Process
(How do we achieve what this task aims at improving/automating today?)
Justification for Project/Request/Service
(How will this project/request/service solve the problem or fulfill the opportunity?)
Benefits of Project/Request/Service
(Describe the benefits that this project/request/service will bring to the business.)
Project Risks
(Describe potential sources of risk to completing the project, as well as risks of not doing the project. What happens if the project is delayed or cancelled?)Project Work Request – Part 2
Business Continuity and Disaster Recovery
(Explain the role of risk, compliance, and security; recommend a data practice based on industry best practice; explain the key cloud based security standards; and define applicable terminologies to minimize ambiguity during the review process.)
Approvals – Part 1
Role
Name
Date of Approval
CTO
Project Sponsor (CIO)
References
Approvals – Part 2
Role
Name
Date of Approval
CTO
Project Sponsor (CIO)
References
1
Proprietary
Solution
s for social media addiction
i) “Urs Matter”
Urs Matter is a mobile app developed for easing the usage of social media.
The main interface has two buttons as well as showing the detected time of using social media and maximum social media using time on the phone. The users can preset the maximum usage time of the social media and the app will automatically record the usage time. Once the time is up the users will be forbidden to get the access to their social media apps.
When the study and work mode is on, users are deemed to be at work or studying and they cannot access any social media apps on the phone. However, the only chance to shut the function down is to complete a complex Sudoku. Otherwise, the users may have to wait for the end of their preset time.
The leisure mode is not as harsh as study and work mode. When leisure mode is on, the app will pop up an alarm clock to set a wake-up count down time. Unless the time is up, there will be no chance to access social media apps.
Section for customer service: the app provides a consulting hotline for social media addiction as well as the service of online chatting.
Section for Urs Matter forum: users can share their successful method to overcome addiction of using social media.
Section for achievement: This section records the date the user starts use this app and so far how long have they successfully beat the addiction. Also, a ranking list amongst the users would be illustrated to show their achievements.
Ii) “social media abandon “ training camp
...
In this paper we have calculated the polarity of people on two current affairs. For this, the tweets posted by twitter handler network friends and friends of friends on current affairs are extracted from twitter. Following this, two bags of words are created. One is positive bag of words and other is negative bag of words. The objective aspect based polarity evaluation is implemented. The polarity of tweets have illustrated and interpreted with application to understand current digital word in terms of its aspect, perspective by calculating polarity with parameter influencing thoughts, concepts, ideas and aspects of people expressing in digital world
Consideration of reputation prediction of ladygaga using the mathematical mod...ijma
A mathematical model for the hit phenomenon in entertainment within a society is presented as a stochastic
process of interactions of human dynamics. The calculations for the Japanese motion picture market based
on to the mathematical model agree very well with the actual residue distribution in time. LADYGAGA are
also analyzed using the data of SNS as well.
Consideration of Reputation Prediction of Ladygaga Using the Mathematical Mod...ijma
A mathematical model for the hit phenomenon in entertainment within a society is presented as a stochastic
process of interactions of human dynamics. The calculations for the Japanese motion picture market based
on to the mathematical model agree very well with the actual residue distribution in time. LADYGAGA are
also analyzed using the data of SNS as well.
ANALYSIS MUSIC CONCERTS ADOPTING THE MATHEMATICAL MODEL OF HIT PHENOMENAcscpconf
A mathematical model for the hit phenomenon in entertainment within a society is presented as
a stochastic process of interactions of human dynamics. In this paper, we analyzed music to the
concert.Knowing the cost of advertising the concert is difficult. But exposure to the media of the
artist can be seen. We tried to analysis of music concert itself by performing a prediction of
reputation of artists during the concert tour from this exposure.In this paper, The world most
popular rock band Coldplay is analyzed using the SNS data. L'Arc-en-Ciel of Japanese rock
band and LADYGAGA are also analyzed using the data of SNS as well.
ANALYSIS MUSIC CONCERTS ADOPTING THE MATHEMATICAL MODEL OF HIT PHENOMENAcsandit
A mathematical model for the hit phenomenon in entertainment within a society is presented as
a stochastic process of interactions of human dynamics. In this paper, we analyzed music to the
concert.Knowing the cost of advertising the concert is difficult. But exposure to the media of the
artist can be seen. We tried to analysis of music concert itself by performing a prediction of
reputation of artists during the concert tour from this exposure.In this paper, The world most
popular rock band Coldplay is analyzed using the SNS data. L'Arc-en-Ciel of Japanese rock
band and LADYGAGA are also analyzed using the data of SNS as well.
Project Business Case Project NameDate XXXXXXCompany Name.docxstilliegeorgiana
Project Business Case
Project Name
Date: XX/XX/XX
Company Name:
Sponsor’s Name:
Requestor’s Name:
Project Category: Infrastructure ModernizationProject Work Request – Part 1
Description of Project/Request/Service
(What does the project entail? What is being requested?)
Background and Detailed Description of Problem or Opportunity
(What is the problem or opportunity and what predicated it?)
Current Business Process
(How do we achieve what this task aims at improving/automating today?)
Justification for Project/Request/Service
(How will this project/request/service solve the problem or fulfill the opportunity?)
Benefits of Project/Request/Service
(Describe the benefits that this project/request/service will bring to the business.)
Project Risks
(Describe potential sources of risk to completing the project, as well as risks of not doing the project. What happens if the project is delayed or cancelled?)Project Work Request – Part 2
Business Continuity and Disaster Recovery
(Explain the role of risk, compliance, and security; recommend a data practice based on industry best practice; explain the key cloud based security standards; and define applicable terminologies to minimize ambiguity during the review process.)
Approvals – Part 1
Role
Name
Date of Approval
CTO
Project Sponsor (CIO)
References
Approvals – Part 2
Role
Name
Date of Approval
CTO
Project Sponsor (CIO)
References
1
Proprietary
Solution
s for social media addiction
i) “Urs Matter”
Urs Matter is a mobile app developed for easing the usage of social media.
The main interface has two buttons as well as showing the detected time of using social media and maximum social media using time on the phone. The users can preset the maximum usage time of the social media and the app will automatically record the usage time. Once the time is up the users will be forbidden to get the access to their social media apps.
When the study and work mode is on, users are deemed to be at work or studying and they cannot access any social media apps on the phone. However, the only chance to shut the function down is to complete a complex Sudoku. Otherwise, the users may have to wait for the end of their preset time.
The leisure mode is not as harsh as study and work mode. When leisure mode is on, the app will pop up an alarm clock to set a wake-up count down time. Unless the time is up, there will be no chance to access social media apps.
Section for customer service: the app provides a consulting hotline for social media addiction as well as the service of online chatting.
Section for Urs Matter forum: users can share their successful method to overcome addiction of using social media.
Section for achievement: This section records the date the user starts use this app and so far how long have they successfully beat the addiction. Also, a ranking list amongst the users would be illustrated to show their achievements.
Ii) “social media abandon “ training camp
...
In this paper we have calculated the polarity of people on two current affairs. For this, the tweets posted by twitter handler network friends and friends of friends on current affairs are extracted from twitter. Following this, two bags of words are created. One is positive bag of words and other is negative bag of words. The objective aspect based polarity evaluation is implemented. The polarity of tweets have illustrated and interpreted with application to understand current digital word in terms of its aspect, perspective by calculating polarity with parameter influencing thoughts, concepts, ideas and aspects of people expressing in digital world
Minecraft Essay
Civil Engineering Essay
Biofeedback Research Paper
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Research Paper On Mass Communication
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Surrealism Essay
Essay On How To Improve Productivity
Thought Paper
Personal Change Essay
Research Paper On Tattoos
Hurricane Generator Research Paper
Essay On Internship
Salt Water Essay
Design Of A Standby Generator
Cinco De Mayo Essay
Reflection About Technology
The objective of emotion recognition is
identifying emotions of a human. The emotion can be
captured either from face or from verbal communication. In
this work we focus on identifying human emotion from
facial expressions. Facial emotion recognition is one of the
useful task and can be used as a base for many real-time
applications.
Event detection in twitter using text and image fusioncsandit
In this paper, we describe an accurate and effective event detection method to detect events from
Twitter stream. It detects events using visual information as well as textual information to improve
the performance of the mining. It monitors Twitter stream to pick up tweets having texts and photos
and stores them into database. Then it applies mining algorithm to detect the event. Firstly, it detects
event based on text only by using the feature of the bag-of-words which is calculated using the term
frequency-inverse document frequency (TF-IDF) method. Secondly, it detects the event based on
image only by using visual features including histogram of oriented gradients (HOG) descriptors,
grey-level co-occurrence matrix (GLCM), and color histogram. K nearest neighbours (Knn)
classification is used in the detection. Finally, the final decision of the event detection is made based
on the reliabilities of text only detection and image only detection. The experiment result showed that
the proposed method achieved high accuracy of 0.93, comparing with 0.89 with texts only, and 0.86
with images only.
The Harvard Humanitarian Initiative research team led by Jennifer Chan and Melissa Tully, supported by the Knight Foundation, conducted evaluation research. Over the year, they interviewed Kenyan Ushahidi deployers, specifically those participating in Uchaguzi, Unsung Heros and Building Bridges, and had community members help shape the research deliverables. Evaluation to action was a key goal of the project. Their research resulted in the creation of three toolboxes to assist users in the various stages of their Ushahidi deployments: Assessment, Implementation and Outputs.
Need Response 1The subcomponent of crowdsourcing ICT platform.docxvannagoforth
Need Response 1:
The subcomponent of crowdsourcing ICT platform technological architecture I would like to discuss is that gives additionally created an examination concerning public text information (for instance blog postings, comments, appraisals, etc.) and setting up this information sources using sentiment mining tools. The Web has changed the way wherein people express their emotions, offering them the capacity to post comments and reviews on business things and express their points of view on a a huge amount of issues in parties, talk get-togethers, visit rooms, long-broaden agreeable correspondence get-togethers and web diaries. This customer passed on the substance has been seen as a tremendous wellspring of business and political information. Notwithstanding, the tremendous the degree of this information and its normal language structure makes it difficult to remove the consistent areas, for instance, the general inclination/assessment (for instance positive, negative or sensible) on the particular subject (for instance a thing/affiliation or another methodology proposition) and the specific issues raised about it by the customers/visitors of these objectives. It is hidden motivation has been to enable firms to research online overviews and comments entered by customers of their things in various review districts, web diaries, social affairs, etc., in order to arrive at general judgments as for whether customers adored the thing or not (supposition assessment), and moreover continuously express finishes concerning features (traits) of the thing that has been commented on insistently or conflictingly (features extraction and examination).
This subcomponent performs three tasks, firstly it classifies the opinion text, a document which includes various declarations like a dialogue or a blog spot conveying a positive, negative or unprejudiced end. This is suggested as the record level evaluation examination. Secondly further focusing on sentence-level which deals with the gathering of a sentence as objective or passionate, it organizes each sentence in such a structure, that atmosphere it is a unique or targets (demonstrating whether it can express the inclination or not). For each sentence that is a conceptual (infers conveying an inclination) further, the portrayal is done as imparting an appositive, negative or unprejudiced supposition. Lastly extracting the most commented features of the commented articles, and for each commented feature further classification of relevant opinion is executed as positive, negative or unprejudiced.
References
Janssen, M., Wimmer, M. A., & Deljoo, A. (Eds.). (2015). Policy practice and digital science: Integrating complex systems, social simulation and public administration in policy research (Vol. 10). Springer
Need response 2:
nformation and communication technology platform has an important role to play in active crowdsourcing. A policy maker of a government agency initiates ...
Sentiment analysis of comments in social media IJECEIAES
Social media platforms are witnessing a significant growth in both size and purpose. One specific aspect of social media platforms is sentiment analysis, by which insights into the emotions and feelings of a person can be inferred from their posted text. Research related to sentiment analysis is acquiring substantial interest as it is a promising filed that can improve user experience and provide countless personalized services. Twitter is one of the most popular social media platforms, it has users from different regions with a variety of cultures and languages. It can thus provide valuable information for a diverse and large amount of data to be used to improve decision making. In this paper, the sentiment orientation of the textual features and emoji-based components is studied targeting “Tweets” and comments posted in Arabic on Twitter, during the 2018 world cup event. This study also measures the significance of analyzing texts including or excluding emojis. The data is obtained from thousands of extracted tweets, to find the results of sentiment analysis for texts and emojis separately. Results show that emojis support the sentiment orientation of the texts and those texts or emojis cannot separately provide reliable information as they complement each other to give the intended meaning.
Facebook acquisition offer for Snapchat. What does this implicate about inter...Gerald Been
Facebook is attempting to acquisition Snapchat. What is the background on this, and what can we learn about the future of the internet landscape. It shows the way things may develop regarding customer behaviour, the way they connect and what they will expect from consumer brands and retailers.
THE SURVEY OF SENTIMENT AND OPINION MINING FOR BEHAVIOR ANALYSIS OF SOCIAL MEDIAIJCSES Journal
Nowadays, internet has changed the world into a global village. Social Media has reduced the gaps among
the individuals. Previously communication was a time consuming and expensive task between the people.
Social Media has earned fame because it is a cheaper and faster communication provider. Besides, social
media has allowed us to reduce the gaps of physical distance, it also generates and preserves huge amount
of data. The data are very valuable and it presents association degree between people and their opinions.The comprehensive analysis of the methods which are used on user behavior prediction is presented in this paper. This comparison will provide a detailed information, pros and cons in the domain of sentiment and
opinion mining.
A PREDICTION METHOD OF GESTURE TRAJECTORY BASED ON LEAST SQUARES FITTING MODELVLSICS Design
Implicit interaction based on context information is widely used and studied in the virtual scene. In context
based human computer interaction, the meaning of action A is well defined. For instance, the right wave is
defined turning paper or PPT in context B, And it mean volume up in context C. However, we cannot use
the context information when we select the object to be manipulated. In view of this situation, this paper
proposes using the least squares fitting curve beam to predict the user's trajectory, so as to determine what
object the user’s wants to operate. At the same time, the fitting effects of the three curves were compared,
and the curve which is more accord with the hand movement trajectory is obtained. In addition, using the
bounding box size control the Z variable to move in an appropriate location. Experimental results show
that the proposed in this paper based on bounding box size to control the Z variables get a good effect; by
fitting the trajectory of a human hand, to predict the object that the subjects would like to operate. The
correct rate is 91%.
A PREDICTION METHOD OF GESTURE TRAJECTORY BASED ON LEAST SQUARES FITTING MODELVLSICS Design
Implicit interaction based on context information is widely used and studied in the virtual scene. In context
based human computer interaction, the meaning of action A is well defined. For instance, the right wave is
defined turning paper or PPT in context B, And it mean volume up in context C. However, we cannot use
the context information when we select the object to be manipulated. In view of this situation, this paper
proposes using the least squares fitting curve beam to predict the user's trajectory, so as to determine what
object the user’s wants to operate. At the same time, the fitting effects of the three curves were compared,
and the curve which is more accord with the hand movement trajectory is obtained. In addition, using the
bounding box size control the Z variable to move in an appropriate location. Experimental results show
that the proposed in this paper based on bounding box size to control the Z variables get a good effect; by
fitting the trajectory of a human hand, to predict the object that the subjects would like to operate. The
correct rate is 91%.
About
Indigenized remote control interface card suitable for MAFI system CCR equipment. Compatible for IDM8000 CCR. Backplane mounted serial and TCP/Ethernet communication module for CCR remote access. IDM 8000 CCR remote control on serial and TCP protocol.
• Remote control: Parallel or serial interface.
• Compatible with MAFI CCR system.
• Compatible with IDM8000 CCR.
• Compatible with Backplane mount serial communication.
• Compatible with commercial and Defence aviation CCR system.
• Remote control system for accessing CCR and allied system over serial or TCP.
• Indigenized local Support/presence in India.
• Easy in configuration using DIP switches.
Technical Specifications
Indigenized remote control interface card suitable for MAFI system CCR equipment. Compatible for IDM8000 CCR. Backplane mounted serial and TCP/Ethernet communication module for CCR remote access. IDM 8000 CCR remote control on serial and TCP protocol.
Key Features
Indigenized remote control interface card suitable for MAFI system CCR equipment. Compatible for IDM8000 CCR. Backplane mounted serial and TCP/Ethernet communication module for CCR remote access. IDM 8000 CCR remote control on serial and TCP protocol.
• Remote control: Parallel or serial interface
• Compatible with MAFI CCR system
• Copatiable with IDM8000 CCR
• Compatible with Backplane mount serial communication.
• Compatible with commercial and Defence aviation CCR system.
• Remote control system for accessing CCR and allied system over serial or TCP.
• Indigenized local Support/presence in India.
Application
• Remote control: Parallel or serial interface.
• Compatible with MAFI CCR system.
• Compatible with IDM8000 CCR.
• Compatible with Backplane mount serial communication.
• Compatible with commercial and Defence aviation CCR system.
• Remote control system for accessing CCR and allied system over serial or TCP.
• Indigenized local Support/presence in India.
• Easy in configuration using DIP switches.
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Reflection About Technology
The objective of emotion recognition is
identifying emotions of a human. The emotion can be
captured either from face or from verbal communication. In
this work we focus on identifying human emotion from
facial expressions. Facial emotion recognition is one of the
useful task and can be used as a base for many real-time
applications.
Event detection in twitter using text and image fusioncsandit
In this paper, we describe an accurate and effective event detection method to detect events from
Twitter stream. It detects events using visual information as well as textual information to improve
the performance of the mining. It monitors Twitter stream to pick up tweets having texts and photos
and stores them into database. Then it applies mining algorithm to detect the event. Firstly, it detects
event based on text only by using the feature of the bag-of-words which is calculated using the term
frequency-inverse document frequency (TF-IDF) method. Secondly, it detects the event based on
image only by using visual features including histogram of oriented gradients (HOG) descriptors,
grey-level co-occurrence matrix (GLCM), and color histogram. K nearest neighbours (Knn)
classification is used in the detection. Finally, the final decision of the event detection is made based
on the reliabilities of text only detection and image only detection. The experiment result showed that
the proposed method achieved high accuracy of 0.93, comparing with 0.89 with texts only, and 0.86
with images only.
The Harvard Humanitarian Initiative research team led by Jennifer Chan and Melissa Tully, supported by the Knight Foundation, conducted evaluation research. Over the year, they interviewed Kenyan Ushahidi deployers, specifically those participating in Uchaguzi, Unsung Heros and Building Bridges, and had community members help shape the research deliverables. Evaluation to action was a key goal of the project. Their research resulted in the creation of three toolboxes to assist users in the various stages of their Ushahidi deployments: Assessment, Implementation and Outputs.
Need Response 1The subcomponent of crowdsourcing ICT platform.docxvannagoforth
Need Response 1:
The subcomponent of crowdsourcing ICT platform technological architecture I would like to discuss is that gives additionally created an examination concerning public text information (for instance blog postings, comments, appraisals, etc.) and setting up this information sources using sentiment mining tools. The Web has changed the way wherein people express their emotions, offering them the capacity to post comments and reviews on business things and express their points of view on a a huge amount of issues in parties, talk get-togethers, visit rooms, long-broaden agreeable correspondence get-togethers and web diaries. This customer passed on the substance has been seen as a tremendous wellspring of business and political information. Notwithstanding, the tremendous the degree of this information and its normal language structure makes it difficult to remove the consistent areas, for instance, the general inclination/assessment (for instance positive, negative or sensible) on the particular subject (for instance a thing/affiliation or another methodology proposition) and the specific issues raised about it by the customers/visitors of these objectives. It is hidden motivation has been to enable firms to research online overviews and comments entered by customers of their things in various review districts, web diaries, social affairs, etc., in order to arrive at general judgments as for whether customers adored the thing or not (supposition assessment), and moreover continuously express finishes concerning features (traits) of the thing that has been commented on insistently or conflictingly (features extraction and examination).
This subcomponent performs three tasks, firstly it classifies the opinion text, a document which includes various declarations like a dialogue or a blog spot conveying a positive, negative or unprejudiced end. This is suggested as the record level evaluation examination. Secondly further focusing on sentence-level which deals with the gathering of a sentence as objective or passionate, it organizes each sentence in such a structure, that atmosphere it is a unique or targets (demonstrating whether it can express the inclination or not). For each sentence that is a conceptual (infers conveying an inclination) further, the portrayal is done as imparting an appositive, negative or unprejudiced supposition. Lastly extracting the most commented features of the commented articles, and for each commented feature further classification of relevant opinion is executed as positive, negative or unprejudiced.
References
Janssen, M., Wimmer, M. A., & Deljoo, A. (Eds.). (2015). Policy practice and digital science: Integrating complex systems, social simulation and public administration in policy research (Vol. 10). Springer
Need response 2:
nformation and communication technology platform has an important role to play in active crowdsourcing. A policy maker of a government agency initiates ...
Sentiment analysis of comments in social media IJECEIAES
Social media platforms are witnessing a significant growth in both size and purpose. One specific aspect of social media platforms is sentiment analysis, by which insights into the emotions and feelings of a person can be inferred from their posted text. Research related to sentiment analysis is acquiring substantial interest as it is a promising filed that can improve user experience and provide countless personalized services. Twitter is one of the most popular social media platforms, it has users from different regions with a variety of cultures and languages. It can thus provide valuable information for a diverse and large amount of data to be used to improve decision making. In this paper, the sentiment orientation of the textual features and emoji-based components is studied targeting “Tweets” and comments posted in Arabic on Twitter, during the 2018 world cup event. This study also measures the significance of analyzing texts including or excluding emojis. The data is obtained from thousands of extracted tweets, to find the results of sentiment analysis for texts and emojis separately. Results show that emojis support the sentiment orientation of the texts and those texts or emojis cannot separately provide reliable information as they complement each other to give the intended meaning.
Facebook acquisition offer for Snapchat. What does this implicate about inter...Gerald Been
Facebook is attempting to acquisition Snapchat. What is the background on this, and what can we learn about the future of the internet landscape. It shows the way things may develop regarding customer behaviour, the way they connect and what they will expect from consumer brands and retailers.
THE SURVEY OF SENTIMENT AND OPINION MINING FOR BEHAVIOR ANALYSIS OF SOCIAL MEDIAIJCSES Journal
Nowadays, internet has changed the world into a global village. Social Media has reduced the gaps among
the individuals. Previously communication was a time consuming and expensive task between the people.
Social Media has earned fame because it is a cheaper and faster communication provider. Besides, social
media has allowed us to reduce the gaps of physical distance, it also generates and preserves huge amount
of data. The data are very valuable and it presents association degree between people and their opinions.The comprehensive analysis of the methods which are used on user behavior prediction is presented in this paper. This comparison will provide a detailed information, pros and cons in the domain of sentiment and
opinion mining.
A PREDICTION METHOD OF GESTURE TRAJECTORY BASED ON LEAST SQUARES FITTING MODELVLSICS Design
Implicit interaction based on context information is widely used and studied in the virtual scene. In context
based human computer interaction, the meaning of action A is well defined. For instance, the right wave is
defined turning paper or PPT in context B, And it mean volume up in context C. However, we cannot use
the context information when we select the object to be manipulated. In view of this situation, this paper
proposes using the least squares fitting curve beam to predict the user's trajectory, so as to determine what
object the user’s wants to operate. At the same time, the fitting effects of the three curves were compared,
and the curve which is more accord with the hand movement trajectory is obtained. In addition, using the
bounding box size control the Z variable to move in an appropriate location. Experimental results show
that the proposed in this paper based on bounding box size to control the Z variables get a good effect; by
fitting the trajectory of a human hand, to predict the object that the subjects would like to operate. The
correct rate is 91%.
A PREDICTION METHOD OF GESTURE TRAJECTORY BASED ON LEAST SQUARES FITTING MODELVLSICS Design
Implicit interaction based on context information is widely used and studied in the virtual scene. In context
based human computer interaction, the meaning of action A is well defined. For instance, the right wave is
defined turning paper or PPT in context B, And it mean volume up in context C. However, we cannot use
the context information when we select the object to be manipulated. In view of this situation, this paper
proposes using the least squares fitting curve beam to predict the user's trajectory, so as to determine what
object the user’s wants to operate. At the same time, the fitting effects of the three curves were compared,
and the curve which is more accord with the hand movement trajectory is obtained. In addition, using the
bounding box size control the Z variable to move in an appropriate location. Experimental results show
that the proposed in this paper based on bounding box size to control the Z variables get a good effect; by
fitting the trajectory of a human hand, to predict the object that the subjects would like to operate. The
correct rate is 91%.
Similar to Predict Facebook Impressions Adopting a Mathematical Model of the Hit Phenomenon (20)
About
Indigenized remote control interface card suitable for MAFI system CCR equipment. Compatible for IDM8000 CCR. Backplane mounted serial and TCP/Ethernet communication module for CCR remote access. IDM 8000 CCR remote control on serial and TCP protocol.
• Remote control: Parallel or serial interface.
• Compatible with MAFI CCR system.
• Compatible with IDM8000 CCR.
• Compatible with Backplane mount serial communication.
• Compatible with commercial and Defence aviation CCR system.
• Remote control system for accessing CCR and allied system over serial or TCP.
• Indigenized local Support/presence in India.
• Easy in configuration using DIP switches.
Technical Specifications
Indigenized remote control interface card suitable for MAFI system CCR equipment. Compatible for IDM8000 CCR. Backplane mounted serial and TCP/Ethernet communication module for CCR remote access. IDM 8000 CCR remote control on serial and TCP protocol.
Key Features
Indigenized remote control interface card suitable for MAFI system CCR equipment. Compatible for IDM8000 CCR. Backplane mounted serial and TCP/Ethernet communication module for CCR remote access. IDM 8000 CCR remote control on serial and TCP protocol.
• Remote control: Parallel or serial interface
• Compatible with MAFI CCR system
• Copatiable with IDM8000 CCR
• Compatible with Backplane mount serial communication.
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Predict Facebook Impressions Adopting a Mathematical Model of the Hit Phenomenon
1. International Journal of Information Technology, Modeling and Computing (IJITMC) Vol. 2, No. 1, February 2014
DOI : 10.5121/ijitmc.2014.2106 63
PREDICT FACEBOOK IMPRESSIONS ADOPTING A
MATHEMATICAL MODEL OF THE HIT
PHENOMENON
Kawahata Yasuko1
,Genda Etuso2
,and Ishii Akira2
1
Department of Contents and Creative Design, Graduate School of Design, Kyushu
University 6-10-1 Hakozaki, Higashi-ku, Fukuoka 812-8581,Japan
2
Department of Applied Mathematics and Physics Tottori University, Koyama, Tottori
680-8554,Japan
.
Abstract.
A mathematical model for the hit phenomenon in entertainment within a society is presented as a stochastic
process of interactions of human dynamics. The calculations for the Japanese motion picture market based
on to the mathematical model agree very well with the actual residue distribution in time. Views of
Facebook could be predicted by the number of all the action in the viewer Facebook on this paper. In other
words, Views So if determined by the actions for which you want to advertise, we will begin to see is how to
should be utilized in advertising using Facebook future.
Keywords
Hit phenomena, Stochastic process, Advertisement, Facebook
1. INTRODUCTION
Today, festivals centered around the local artists to activate the area actively have been made in
Japan.[1,2] However, it has a challenge should carry out activities without imposing how the
advertising costs in the process of the announcement of the activity. In this study, we targeted the
troupe Tinker Bell in Fukuoka city. Without having made a public relations via the Internet so far,
the first promotion for the theater company started in 2012-2013 for this collaboration. We
thought doing web publicity for the theater company will also lead to stimulate motivation in the
creation of the artist, and also help in subsequent activities. We can in the course in the activity of
this time, Advertise the activities of the troupe to people living in other provinces in each
announcement. In this method, we have measured the access number of official page on
Facebook. The number of pages of view for the theater company will tend to increase when a
single event was held. We thought these increasing phenomenon is the hit phenomenon for the
theater company.
2. MATHEMATICAL THEORY FOR HIT PHENOMENA FOR
FACEBOOK
The mathematical model for hit phenomena where the movement of human minds are considered
as stochastic processes influenced by the media advertisement, communications with their friends
2. International Journal of Information Technology, Modeling and Computing (IJITMC) Vol. 2, No. 1, February 2014
64
and the rumor in the society. In this paper, the access with friends is considered as direct access
or two-body interaction. The page in Facebook is considered as indirect access or three-body
interaction. In this model, we define the intention for person "i" in the Facebook to activities as
( ). The model can describe the intention of each person for viewing as the equation of the
intention of person i with two-body interaction and three-body interaction terms. According to the
Reference, we write down the equation of the intention at the individual level as
(1)
where dij, hijk, and fi(t) are the coefficient of the direct access, the coefficient of the indirect access,
and the random effect for person i, respectively. We consider the above equation for every person
in the Facebook so that i = 1, Np where is the effective population of the Facebook for a
certain Facebook pages.
The advertisement and publicity effect for each person can be described as the random effect fi(t).
Eq. (1) is the equation for all individual persons, but it is not convenient for analysis. Thus, we
consider here the ensemble average of the intention of individual persons as follows:
(2)
Taking the ensemble average of Eq. (1), we obtain for the left-hand side:
(3)
For the right-hand side, the ensemble average of the first, second, and third is as
follows:
(4)
I t
( ) =
1
N
Ii t
( )
i
å
dIi t
( )
dt
=
1
N
dIi t
( )
dt
=
d
dt
1
N
Ii t
( )
i
å
æ
èç
ö
ø÷=
d I
dt
i
å
- aIi = - a
1
N
Ii t
( )
i
å = - a I t
( )
dijIj t
( )
j
å = dIj t
( )
j
å =
1
N
dIj t
( )
j
å
i
å =
i
å d
1
N
Ij t
( )
j
å = Nd I t
( )
pijkIj t
( )Ik t
( )
k
å
j
å = p Ij t
( )Ik t
( )
k
å
j
å
=
1
N
p Ij t
( )Ik t
( )
k
å
j
å
i
å
= p
1
N
Ij t
( )Ik t
( )
k
å
j
å
i
å
= Np
1
N
Ij t
( )
1
N
Ik t
( )
k
å
j
å
i
å
= N2
p I t
( )
2
dIi t
( )
dt
= - aIi t
( )+ dijIj t
( )
j
å + hijkdjkIj t
( )Ik t
( )
k
å
j
å + fi t
( )
3. International Journal of Information Technology, Modeling and Computing (IJITMC) Vol. 2, No. 1, February 2014
65
(5)
(6)
where we assume that the coefficient of the direct and indirect access can be approximated to be
under the ensemble average.
For the fourth term of Eq. (1), the random effect term, we consider that the random effect can be
divided into two parts: the collective effect and the individual effect:
(7)
(8)
where Δ ( ) means the deviation of the individual external effects from the collective effect,
〈 ( )〉. Thus, we consider here that the collective external effect term 〈 ( )〉 corresponds to
advertisements and publicity to persons in the Facebook. The deviation term Δ ( ) corresponds
to the deviation effect from the collective advertisement and publicity effect for individual
persons, which we can assume to be
(9)
Therefore, we obtain the equation for the ensemble-averaged intention to viewing in the
following manner as shown in Refernce:
(10)
here
(11)
Facebook Action are the very important factor to increase the intention of each person for
viewing pages in Facebook. We consider the action effect as an external force term A(t) to the
intention as follows,
(12)
dij @ d
hijkdjk = pijk @ p
fi t
( ) =
1
N
fi t
( )
i
å = f t
( )
d I t
( )
dt
= - a I t
( ) + D I t
( ) +P I t
( )
2
+ f t
( )
Nd = D
N2
p = P
fi t
( ) = f t
( ) + D fi t
( )
D fi t
( ) =
1
N
D fi t
( )
i
å = 0
4. International Journal of Information Technology, Modeling and Computing (IJITMC) Vol. 2, No. 1, February 2014
66
where is the Facebook’s advertisement effect. The actual formula used in the calculation to
analyze the SNS response are introduced in detail in Reference.[7-10]
Table 1. ParametaList
3. RESULT
We chose the timing of the event in order to measure the number of access Facebook page to be
analyzed 2013 August 3 -September 29. The results of previous studies, Increasing the number
(Like!, Share!, Comments!) Of action is important in order to carry out the public relations of the
troupe.Therefore, in order to stage the theater company was held in 2013/9/1, we increased the
number of actions in the schedule of the before and after deliberately.[]
Fig. 1. All action(2013/8/3-2013/9/29.)
A t
( )
alpha
Interest willingness attenuation
ratio of daily
Cadv
Percentage of increase of Views
from behavior of visitors
before
Cadv to become stronger as it
approaches the peak of access
number
after
Cadv to become weaker with
increasing distance from the peak
of access number
a
Percentage of Cadv attenuation of
each course of the day
NpDnn
Direct access (Between people
have not seen the article or
content)
NpDny
Direct access (People who have
not seen a person who saw the
content and articles)
Np2Pnn
Indirect access (between people
have not seen the content articles
and touch the content)
Np2Pny
Indirect access (people you have
not seen a person who looked at
content articles and touch)
International Journal of Information Technology, Modeling and Computing (IJITMC) Vol. 2, No. 1, February 2014
66
where is the Facebook’s advertisement effect. The actual formula used in the calculation to
analyze the SNS response are introduced in detail in Reference.[7-10]
Table 1. ParametaList
3. RESULT
We chose the timing of the event in order to measure the number of access Facebook page to be
analyzed 2013 August 3 -September 29. The results of previous studies, Increasing the number
(Like!, Share!, Comments!) Of action is important in order to carry out the public relations of the
troupe.Therefore, in order to stage the theater company was held in 2013/9/1, we increased the
number of actions in the schedule of the before and after deliberately.[]
Fig. 1. All action(2013/8/3-2013/9/29.)
alpha
Interest willingness attenuation
ratio of daily
Cadv
Percentage of increase of Views
from behavior of visitors
before
Cadv to become stronger as it
approaches the peak of access
number
after
Cadv to become weaker with
increasing distance from the peak
of access number
a
Percentage of Cadv attenuation of
each course of the day
NpDnn
Direct access (Between people
have not seen the article or
content)
NpDny
Direct access (People who have
not seen a person who saw the
content and articles)
Np2Pnn
Indirect access (between people
have not seen the content articles
and touch the content)
Np2Pny
Indirect access (people you have
not seen a person who looked at
content articles and touch)
International Journal of Information Technology, Modeling and Computing (IJITMC) Vol. 2, No. 1, February 2014
66
where is the Facebook’s advertisement effect. The actual formula used in the calculation to
analyze the SNS response are introduced in detail in Reference.[7-10]
Table 1. ParametaList
3. RESULT
We chose the timing of the event in order to measure the number of access Facebook page to be
analyzed 2013 August 3 -September 29. The results of previous studies, Increasing the number
(Like!, Share!, Comments!) Of action is important in order to carry out the public relations of the
troupe.Therefore, in order to stage the theater company was held in 2013/9/1, we increased the
number of actions in the schedule of the before and after deliberately.[]
Fig. 1. All action(2013/8/3-2013/9/29.)
alpha
Interest willingness attenuation
ratio of daily
Cadv
Percentage of increase of Views
from behavior of visitors
before
Cadv to become stronger as it
approaches the peak of access
number
after
Cadv to become weaker with
increasing distance from the peak
of access number
a
Percentage of Cadv attenuation of
each course of the day
NpDnn
Direct access (Between people
have not seen the article or
content)
NpDny
Direct access (People who have
not seen a person who saw the
content and articles)
Np2Pnn
Indirect access (between people
have not seen the content articles
and touch the content)
Np2Pny
Indirect access (people you have
not seen a person who looked at
content articles and touch)
5. International Journal of Information Technology, Modeling and Computing (IJITMC) Vol. 2, No. 1, February 2014
67
Fig. 2. Simulation results
From Figure 1-2, it was possible to increase the Total Number of deliberately increasing the
number of Action. It was possible to predict as well mathematical model.
4. CONCLUSION
We found the following four points in this study.
Table 2. Before 2013/9/1’s stages.
alpha = 1.3631872495173317
Cadv = 33.648555179372451
before = 7.9668364933573317
a = 1.2475576130717430
NpDnn = 1.0496308324609643
Np2Pnn = 1.0494944847288918
Table 3 After 2013/9/1’s stages.
alpha = 7.3941230610241885
Cadv = 70.777339671182034
before = 8.0074090559207258
a = 17.459373760590164
NpDnn = 2.1761137981055933
Np2Pnn = 2.3674200899568540
①As See Table.2,3, it was possible accuracy comparable studies past a high prediction even with
facebook pages Impressions actual aid of the mathematical model of the hit phenomenon.
②In the method of this paper, we use number are 3 factors,
1, The update of an article of the facebook page
2, The number of 'Like!' and 'shares!'
3, Number of all actions as a factor variable that determines .Number of prediction have increased
by calculating the factor variable.However, there are some differences in the predicted value and
the actual value if the impact of the event itself is large.
③Number of views of table.3 was overwhelmingly proportion of Cadv.
After the increasing action number was also keeping the advertising effect.
International Journal of Information Technology, Modeling and Computing (IJITMC) Vol. 2, No. 1, February 2014
67
Fig. 2. Simulation results
From Figure 1-2, it was possible to increase the Total Number of deliberately increasing the
number of Action. It was possible to predict as well mathematical model.
4. CONCLUSION
We found the following four points in this study.
Table 2. Before 2013/9/1’s stages.
alpha = 1.3631872495173317
Cadv = 33.648555179372451
before = 7.9668364933573317
a = 1.2475576130717430
NpDnn = 1.0496308324609643
Np2Pnn = 1.0494944847288918
Table 3 After 2013/9/1’s stages.
alpha = 7.3941230610241885
Cadv = 70.777339671182034
before = 8.0074090559207258
a = 17.459373760590164
NpDnn = 2.1761137981055933
Np2Pnn = 2.3674200899568540
①As See Table.2,3, it was possible accuracy comparable studies past a high prediction even with
facebook pages Impressions actual aid of the mathematical model of the hit phenomenon.
②In the method of this paper, we use number are 3 factors,
1, The update of an article of the facebook page
2, The number of 'Like!' and 'shares!'
3, Number of all actions as a factor variable that determines .Number of prediction have increased
by calculating the factor variable.However, there are some differences in the predicted value and
the actual value if the impact of the event itself is large.
③Number of views of table.3 was overwhelmingly proportion of Cadv.
After the increasing action number was also keeping the advertising effect.
International Journal of Information Technology, Modeling and Computing (IJITMC) Vol. 2, No. 1, February 2014
67
Fig. 2. Simulation results
From Figure 1-2, it was possible to increase the Total Number of deliberately increasing the
number of Action. It was possible to predict as well mathematical model.
4. CONCLUSION
We found the following four points in this study.
Table 2. Before 2013/9/1’s stages.
alpha = 1.3631872495173317
Cadv = 33.648555179372451
before = 7.9668364933573317
a = 1.2475576130717430
NpDnn = 1.0496308324609643
Np2Pnn = 1.0494944847288918
Table 3 After 2013/9/1’s stages.
alpha = 7.3941230610241885
Cadv = 70.777339671182034
before = 8.0074090559207258
a = 17.459373760590164
NpDnn = 2.1761137981055933
Np2Pnn = 2.3674200899568540
①As See Table.2,3, it was possible accuracy comparable studies past a high prediction even with
facebook pages Impressions actual aid of the mathematical model of the hit phenomenon.
②In the method of this paper, we use number are 3 factors,
1, The update of an article of the facebook page
2, The number of 'Like!' and 'shares!'
3, Number of all actions as a factor variable that determines .Number of prediction have increased
by calculating the factor variable.However, there are some differences in the predicted value and
the actual value if the impact of the event itself is large.
③Number of views of table.3 was overwhelmingly proportion of Cadv.
After the increasing action number was also keeping the advertising effect.
6. International Journal of Information Technology, Modeling and Computing (IJITMC) Vol. 2, No. 1, February 2014
68
We can apply the mathematical theory for Number of the impression analysis of Facebook and
The calculation using our mathematical model for hit phenomena presents the intention to
watching in the Facebook. Present method was able to get results without being affected by the
notice of other media.We need to do the analysis and application of this model with respect to
advertisement methods of professional artists in the middle of going to actively publicity by the
media such as TV and magazines as a policy of future research. Future, empirical research will be
with respect to parameters of indirect access and direct access by making a comparison with the
organic number of users who access the actual.
Acknowledgement
The authors would like to thank CEO Uchiyama Kouki of Hotlink, CEO Koguchi Hidehiko of
Perspective Media , Theatre TinkerBell for giving them Database and helpful discussions. Great
creaters who have supported the motivation of this study, We also thank Troup Tinker Bell in
Fukuoka (Hara Chinami and Kinoshita Tsuguo, Hisada Shigeki) and versity KANSEI center for
Arts and Science, ADAA (Asia Digital Arts Awards ) which gives the best environment to do
their studies in particular, to carry out development activities creativity of Asia. In adidition , it is
enormously grateful family and friends and Genda Lab. Members , also ancestors who have
supported much emotional support. Y.Kawahata also thanks the Japan Student Services
Organization for the scholarship.
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