The document discusses mining Twitter data in real-time for trend and information discovery. It describes two works: 1) Classifying emerging trending topics on Twitter with 78.4% accuracy using social features of tweets rather than text. 2) Summarizing live events tweeted on Twitter, such as soccer games, with over 80% precision and recall by detecting sub-events and selecting representative tweets. The outlook discusses further analyzing trend types and evaluating the summarization approach on other event types.
Using Twitter for marketing purpose. We have collected tweets from twitter over the Thanks Giving '13 weekend. And performed Text Mining and Sentiment Analysis on the tweets in an attempt to understand how customers reacted to various deals and promotions.
Mining Twitter Data with Resource Constraints - IEEE/ACM Conference on Web In...Ioannis Katakis
Social media analysis constitutes a scientific field that is rapidly gaining ground due to its numerous research challenges and practical applications, as well as the unprecedented availability of data in real time. Several of these applications have significant social and economical impact, such as journalism, crisis management, advertising, etc. However, two issues regarding these applications have to be confronted. The first one is the financial cost. Despite the abundance of information, it typically comes at a premium price, and only a fraction is provided free of charge. For example, Twitter, a predominant social media online service, grants researchers and practitioners free access
to only a small proportion (1%) of its publicly available stream. The second issue is the computational cost. Even when the full stream is available, off the shelf approaches are unable to operate in such settings due to the real-time computational demands. Consequently, real world applications as well as research efforts that exploit such information are limited to utilizing only a subset of the available data. In this paper, we are interested in evaluating the extent to which analytical processes are affected by the aforementioned limitation. In particular, we apply a plethora of analysis processes on two subsets of Twitter public data, obtained through the service’s sampling API’s. The first one is the default 1% sample, whereas the second is the Gardenhose sample that
our research group has access to, returning 10% of all public data. We extensively evaluate their relative performance in numerous scenarios.
With the tremendous growth of social networks, there has been a growth in the amount of new data that is being created every minute on these networking sites. The notion of community in this social networking world has caught lots of attention. Studying Twitter is useful for understanding how people use new communication technologies to form social connections and maintain existing ones. We analysed how geo-tagged tweets in Twitter can be used to identify useful user features and behavior as well as identify landmarks/places of interests. We also analysed several clustering algorithms and proposed different similarity measures to detect communities.
Curating and Contextualizing Twitter Stories to Assist with Social Newsgatheringazubiaga
While journalism is evolving toward a rather open-minded participatory paradigm, social media presents overwhelming streams of data that make it difficult to identify the information of a journalist's interest. Given the increasing interest of journalists in broadening and democratizing news by incorporating social media sources, we have developed TweetGathering, a prototype tool that provides curated and contextualized access to news stories on Twitter. This tool was built with the aim of assisting journalists both with gathering and with researching news stories as users comment on them. Five journalism professionals who tested the tool found helpful characteristics that could assist them with gathering additional facts on breaking news, as well as facilitating discovery of potential information sources such as witnesses in the geographical locations of news.
Using Twitter for marketing purpose. We have collected tweets from twitter over the Thanks Giving '13 weekend. And performed Text Mining and Sentiment Analysis on the tweets in an attempt to understand how customers reacted to various deals and promotions.
Mining Twitter Data with Resource Constraints - IEEE/ACM Conference on Web In...Ioannis Katakis
Social media analysis constitutes a scientific field that is rapidly gaining ground due to its numerous research challenges and practical applications, as well as the unprecedented availability of data in real time. Several of these applications have significant social and economical impact, such as journalism, crisis management, advertising, etc. However, two issues regarding these applications have to be confronted. The first one is the financial cost. Despite the abundance of information, it typically comes at a premium price, and only a fraction is provided free of charge. For example, Twitter, a predominant social media online service, grants researchers and practitioners free access
to only a small proportion (1%) of its publicly available stream. The second issue is the computational cost. Even when the full stream is available, off the shelf approaches are unable to operate in such settings due to the real-time computational demands. Consequently, real world applications as well as research efforts that exploit such information are limited to utilizing only a subset of the available data. In this paper, we are interested in evaluating the extent to which analytical processes are affected by the aforementioned limitation. In particular, we apply a plethora of analysis processes on two subsets of Twitter public data, obtained through the service’s sampling API’s. The first one is the default 1% sample, whereas the second is the Gardenhose sample that
our research group has access to, returning 10% of all public data. We extensively evaluate their relative performance in numerous scenarios.
With the tremendous growth of social networks, there has been a growth in the amount of new data that is being created every minute on these networking sites. The notion of community in this social networking world has caught lots of attention. Studying Twitter is useful for understanding how people use new communication technologies to form social connections and maintain existing ones. We analysed how geo-tagged tweets in Twitter can be used to identify useful user features and behavior as well as identify landmarks/places of interests. We also analysed several clustering algorithms and proposed different similarity measures to detect communities.
Curating and Contextualizing Twitter Stories to Assist with Social Newsgatheringazubiaga
While journalism is evolving toward a rather open-minded participatory paradigm, social media presents overwhelming streams of data that make it difficult to identify the information of a journalist's interest. Given the increasing interest of journalists in broadening and democratizing news by incorporating social media sources, we have developed TweetGathering, a prototype tool that provides curated and contextualized access to news stories on Twitter. This tool was built with the aim of assisting journalists both with gathering and with researching news stories as users comment on them. Five journalism professionals who tested the tool found helpful characteristics that could assist them with gathering additional facts on breaking news, as well as facilitating discovery of potential information sources such as witnesses in the geographical locations of news.
Improving Workplace Safety Performance in Malaysian SMEs: The Role of Safety ...AJHSSR Journal
ABSTRACT: In the Malaysian context, small and medium enterprises (SMEs) experience a significant
burden of workplace accidents. A consensus among scholars attributes a substantial portion of these incidents to
human factors, particularly unsafe behaviors. This study, conducted in Malaysia's northern region, specifically
targeted Safety and Health/Human Resource professionals within the manufacturing sector of SMEs. We
gathered a robust dataset comprising 107 responses through a meticulously designed self-administered
questionnaire. Employing advanced partial least squares-structural equation modeling (PLS-SEM) techniques
with SmartPLS 3.2.9, we rigorously analyzed the data to scrutinize the intricate relationship between safety
behavior and safety performance. The research findings unequivocally underscore the palpable and
consequential impact of safety behavior variables, namely safety compliance and safety participation, on
improving safety performance indicators such as accidents, injuries, and property damages. These results
strongly validate research hypotheses. Consequently, this study highlights the pivotal significance of cultivating
safety behavior among employees, particularly in resource-constrained SME settings, as an essential step toward
enhancing workplace safety performance.
KEYWORDS :Safety compliance, safety participation, safety performance, SME
“To be integrated is to feel secure, to feel connected.” The views and experi...AJHSSR Journal
ABSTRACT: Although a significant amount of literature exists on Morocco's migration policies and their
successes and failures since their implementation in 2014, there is limited research on the integration of subSaharan African children into schools. This paperis part of a Ph.D. research project that aims to fill this gap. It
reports the main findings of a study conducted with migrant children enrolled in two public schools in Rabat,
Morocco, exploring how integration is defined by the children themselves and identifying the obstacles that they
have encountered thus far. The following paper uses an inductive approach and primarily focuses on the
relationships of children with their teachers and peers as a key aspect of integration for students with a migration
background. The study has led to several crucial findings. It emphasizes the significance of speaking Colloquial
Moroccan Arabic (Darija) and being part of a community for effective integration. Moreover, it reveals that the
use of Modern Standard Arabic as the language of instruction in schools is a source of frustration for students,
indicating the need for language policy reform. The study underlines the importanceof considering the
children‟s agency when being integrated into mainstream public schools.
.
KEYWORDS: migration, education, integration, sub-Saharan African children, public school
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The Evolution of SEO: Insights from a Leading Digital Marketing AgencyDigital Marketing Lab
Explore the latest trends in Search Engine Optimization (SEO) and discover how modern practices are transforming business visibility. This document delves into the shift from keyword optimization to user intent, highlighting key trends such as voice search optimization, artificial intelligence, mobile-first indexing, and the importance of E-A-T principles. Enhance your online presence with expert insights from Digital Marketing Lab, your partner in maximizing SEO performance.
Surat Digital Marketing School is created to offer a complete course that is specifically designed as per the current industry trends. Years of experience has helped us identify and understand the graduate-employee skills gap in the industry. At our school, we keep up with the pace of the industry and impart a holistic education that encompasses all the latest concepts of the Digital world so that our graduates can effortlessly integrate into the assigned roles.
This is the place where you become a Digital Marketing Expert.
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Improving Workplace Safety Performance in Malaysian SMEs: The Role of Safety ...AJHSSR Journal
ABSTRACT: In the Malaysian context, small and medium enterprises (SMEs) experience a significant
burden of workplace accidents. A consensus among scholars attributes a substantial portion of these incidents to
human factors, particularly unsafe behaviors. This study, conducted in Malaysia's northern region, specifically
targeted Safety and Health/Human Resource professionals within the manufacturing sector of SMEs. We
gathered a robust dataset comprising 107 responses through a meticulously designed self-administered
questionnaire. Employing advanced partial least squares-structural equation modeling (PLS-SEM) techniques
with SmartPLS 3.2.9, we rigorously analyzed the data to scrutinize the intricate relationship between safety
behavior and safety performance. The research findings unequivocally underscore the palpable and
consequential impact of safety behavior variables, namely safety compliance and safety participation, on
improving safety performance indicators such as accidents, injuries, and property damages. These results
strongly validate research hypotheses. Consequently, this study highlights the pivotal significance of cultivating
safety behavior among employees, particularly in resource-constrained SME settings, as an essential step toward
enhancing workplace safety performance.
KEYWORDS :Safety compliance, safety participation, safety performance, SME
“To be integrated is to feel secure, to feel connected.” The views and experi...AJHSSR Journal
ABSTRACT: Although a significant amount of literature exists on Morocco's migration policies and their
successes and failures since their implementation in 2014, there is limited research on the integration of subSaharan African children into schools. This paperis part of a Ph.D. research project that aims to fill this gap. It
reports the main findings of a study conducted with migrant children enrolled in two public schools in Rabat,
Morocco, exploring how integration is defined by the children themselves and identifying the obstacles that they
have encountered thus far. The following paper uses an inductive approach and primarily focuses on the
relationships of children with their teachers and peers as a key aspect of integration for students with a migration
background. The study has led to several crucial findings. It emphasizes the significance of speaking Colloquial
Moroccan Arabic (Darija) and being part of a community for effective integration. Moreover, it reveals that the
use of Modern Standard Arabic as the language of instruction in schools is a source of frustration for students,
indicating the need for language policy reform. The study underlines the importanceof considering the
children‟s agency when being integrated into mainstream public schools.
.
KEYWORDS: migration, education, integration, sub-Saharan African children, public school
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The Evolution of SEO: Insights from a Leading Digital Marketing AgencyDigital Marketing Lab
Explore the latest trends in Search Engine Optimization (SEO) and discover how modern practices are transforming business visibility. This document delves into the shift from keyword optimization to user intent, highlighting key trends such as voice search optimization, artificial intelligence, mobile-first indexing, and the importance of E-A-T principles. Enhance your online presence with expert insights from Digital Marketing Lab, your partner in maximizing SEO performance.
Surat Digital Marketing School is created to offer a complete course that is specifically designed as per the current industry trends. Years of experience has helped us identify and understand the graduate-employee skills gap in the industry. At our school, we keep up with the pace of the industry and impart a holistic education that encompasses all the latest concepts of the Digital world so that our graduates can effortlessly integrate into the assigned roles.
This is the place where you become a Digital Marketing Expert.
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Enhance your social media strategy with the best digital marketing agency in Kolkata. This PPT covers 7 essential tips for effective social media marketing, offering practical advice and actionable insights to help you boost engagement, reach your target audience, and grow your online presence.
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Multilingual SEO Services | Multilingual Keyword Research | Filosemadisonsmith478075
Multilingual SEO services are essential for businesses aiming to expand their global presence. They involve optimizing a website for search engines in multiple languages, enhancing visibility, and reaching diverse audiences. Filose offers comprehensive multilingual SEO services designed to help businesses optimize their websites for search engines in various languages, enhancing their global reach and market presence. These services ensure that your content is not only translated but also culturally and contextually adapted to resonate with local audiences.
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Mining Twitter for Real-Time Trend and Information Discovery
1. Mining Twitter for real-time trend and information
discovery
Yahoo! Research Barcelona
Arkaitz Zubiaga
NLP & IR Group @ UNED
December 19th, 2011
2. Motivation
Index
1
Motivation
2
Our Work (I): Classification of Trending Topics
3
Our Work (II): Real-Time Summarization of Events
4
Outlook
Arkaitz Zubiaga (UNED)
Real-time mining of Twitter
December 19th, 2011
2 / 43
3. Motivation
Twitter
Twitter is a microblogging service with over 200 million users.
Users share short messages of up to 140 characters (tweets).
Arkaitz Zubiaga (UNED)
Real-time mining of Twitter
December 19th, 2011
3 / 43
7. Motivation
Increase of activity on Twitter
As of October 2011, Twitter received 250 million tweets per day.
Arkaitz Zubiaga (UNED)
Real-time mining of Twitter
December 19th, 2011
7 / 43
9. Motivation
Usefulness of Twitter
Twitter provides...
1
...large amounts of data in real-time,
2
from a wide variety of sources,
3
with the ability to spread rapidly.
Arkaitz Zubiaga (UNED)
Real-time mining of Twitter
December 19th, 2011
9 / 43
11. Motivation
Using Twitter for... following events
(1) Live-tweeting about and following events.
Arkaitz Zubiaga (UNED)
Real-time mining of Twitter
December 19th, 2011
11 / 43
12. Motivation
Using Twitter for... helping others
(2) Helping others, as in natural disasters.
Arkaitz Zubiaga (UNED)
Real-time mining of Twitter
December 19th, 2011
12 / 43
13. Motivation
Using Twitter for... finding out about news
and (3) Finding out about breaking news.
Arkaitz Zubiaga (UNED)
Real-time mining of Twitter
December 19th, 2011
13 / 43
14. Motivation
Twitter on the media
Lots of researchers are analyzing tweets.
Arkaitz Zubiaga (UNED)
Real-time mining of Twitter
December 19th, 2011
14 / 43
15. Motivation
Trends on Twitter
The news about the Japan earthquake broke on Twitter.
Arkaitz Zubiaga (UNED)
Real-time mining of Twitter
December 19th, 2011
15 / 43
17. Motivation
Research on Twitter
Most of the research on Twitter focus on the analysis of streams after
they happened.
Very little research deals with the real-time analysis of streams.
Our goal: How can we mine Twitter streams to acquire real-time
knowledge about events and trends?
Arkaitz Zubiaga (UNED)
Real-time mining of Twitter
December 19th, 2011
17 / 43
18. Our Work (I): Classification of Trending Topics
Index
1
Motivation
2
Our Work (I): Classification of Trending Topics
3
Our Work (II): Real-Time Summarization of Events
4
Outlook
Arkaitz Zubiaga (UNED)
Real-time mining of Twitter
December 19th, 2011
18 / 43
19. Our Work (I): Classification of Trending Topics
Trending Topics on Twitter
Trending topics reflect the top conversations being discussed on
Twitter more than usually.
Arkaitz Zubiaga (UNED)
Real-time mining of Twitter
December 19th, 2011
19 / 43
20. Our Work (I): Classification of Trending Topics
What produces trending topics?
What kinds of events leverage those trending topics?
Arkaitz Zubiaga (UNED)
Real-time mining of Twitter
December 19th, 2011
20 / 43
21. Our Work (I): Classification of Trending Topics
Typology of Trending Topics
News: Japan earthquake.
Current events: a soccer game.
Memes: funny and viral ideas.
Commemoratives: World AIDS Day.
Arkaitz Zubiaga (UNED)
Real-time mining of Twitter
December 19th, 2011
21 / 43
22. Our Work (I): Classification of Trending Topics
Goal
Find out the type of a trending topic as soon as it emerges.
Arkaitz Zubiaga (UNED)
Real-time mining of Twitter
December 19th, 2011
22 / 43
23. Our Work (I): Classification of Trending Topics
Dataset
1,036 unique trending topics, with up to 1,500 associated
tweets as soon as they trended.
Manual classification of trending topics:
616 current events.
251 memes.
142 news.
27 commemoratives.
Arkaitz Zubiaga (UNED)
Real-time mining of Twitter
December 19th, 2011
23 / 43
24. Our Work (I): Classification of Trending Topics
Experiment Settings
Support Vector Machines (one-against-all)
500 trends for the training set.
10 runs.
Arkaitz Zubiaga (UNED)
Real-time mining of Twitter
December 19th, 2011
24 / 43
25. Our Work (I): Classification of Trending Topics
Representation of Trending Topics
2 different representation approaches:
Twitter features: 15 straightforward language-independent
features that rely on the social spread of trends.
Bag-of-words: Text of tweets (TF).
Arkaitz Zubiaga (UNED)
Real-time mining of Twitter
December 19th, 2011
25 / 43
26. Our Work (I): Classification of Trending Topics
Results
Arkaitz Zubiaga (UNED)
Real-time mining of Twitter
December 19th, 2011
26 / 43
27. Our Work (I): Classification of Trending Topics
Results
Arkaitz Zubiaga (UNED)
Real-time mining of Twitter
December 19th, 2011
27 / 43
28. Our Work (I): Classification of Trending Topics
Main findings
Trending topics can accurately (78.4%) be categorized using social
features:
Outperforming use of textual content.
Without making use of external data.
In real-time as the trending topic emerges.
Arkaitz Zubiaga, Damiano Spina, V´
ıctor Fresno, and Raquel Mart´
ınez.
2011. Classifying trending topics: a typology of conversation triggers on
Twitter. CIKM 2011.
Arkaitz Zubiaga (UNED)
Real-time mining of Twitter
December 19th, 2011
28 / 43
29. Our Work (II): Real-Time Summarization of Events
Index
1
Motivation
2
Our Work (I): Classification of Trending Topics
3
Our Work (II): Real-Time Summarization of Events
4
Outlook
Arkaitz Zubiaga (UNED)
Real-time mining of Twitter
December 19th, 2011
29 / 43
30. Our Work (II): Real-Time Summarization of Events
Events on Twitter
When users live-tweet about events:
They produce vast amounts of tweets about events.
Users want to follow what others say.
Users cannot follow the overwhelming amounts of tweets.
Arkaitz Zubiaga (UNED)
Real-time mining of Twitter
December 19th, 2011
30 / 43
31. Our Work (II): Real-Time Summarization of Events
Stream summarization
Can we summarize streams of tweets in such a way that:
Users receive a reduced stream that they can follow?
Users do not miss any key sub-event occurred during the event?
Arkaitz Zubiaga (UNED)
Real-time mining of Twitter
December 19th, 2011
31 / 43
32. Our Work (II): Real-Time Summarization of Events
Study of soccer games
Copa America 2011 (July 1-26, 2011):
26 soccer games.
11k-70k tweets per game.
Tweets are written in 30 languages.
Arkaitz Zubiaga (UNED)
Real-time mining of Twitter
December 19th, 2011
32 / 43
33. Our Work (II): Real-Time Summarization of Events
Gold Standard
Live reports gathered from Yahoo! Sports.
Yahoo! journalists provide annotations for:
Goals.
Penalties.
Red Cards.
Disallowed Goals.
Game Starts, Ends, Stops & Resumptions.
Arkaitz Zubiaga (UNED)
Real-time mining of Twitter
December 19th, 2011
33 / 43
34. Our Work (II): Real-Time Summarization of Events
Histogram of a Soccer Game
2500
tweet rate
2000
1500
1000
1310864000
1310862000
1310860000
1310858000
1310856000
1310854000
500
time elapsed
Arkaitz Zubiaga (UNED)
Real-time mining of Twitter
December 19th, 2011
34 / 43
35. Our Work (II): Real-Time Summarization of Events
Summarization of soccer games
2-step summarization:
1
Sub-event detection.
2
Tweet selection.
Sub-event
Detection
Tweet
Selection
tweet
tweet
tweet
summary
tweets stream
real-time
Arkaitz Zubiaga (UNED)
Real-time mining of Twitter
December 19th, 2011
35 / 43
36. Our Work (II): Real-Time Summarization of Events
1st Step: Sub-event Detection
Increase [Zhao et al., 2011]: a sub-event occurred when a sudden
increase is given in the tweeting rate (1.7 as much as the previous
rate).
Outliers: learns from audience. High tweeting rates as
compared to rates seen so far will be considered sub-events (90%
percentile).
Arkaitz Zubiaga (UNED)
Real-time mining of Twitter
December 19th, 2011
36 / 43
37. Our Work (II): Real-Time Summarization of Events
1st Step: Results
Increase
Outliers
P
0.29
0.51
R
0.81
0.84
F1
0.41
0.63
#
45.4
25.6
Increase-based approach provides more sub-events, with many FPs
(recall-based).
Outlier-based approach (rather based on outstanding tweeting rates)
improves in P and R.
Arkaitz Zubiaga (UNED)
Real-time mining of Twitter
December 19th, 2011
37 / 43
38. Our Work (II): Real-Time Summarization of Events
2nd Step: Tweet Selection
Each term appearing in tweets in a given timeframe is given a weight
according to:
Frequency (TF).
Language Models (KLD).
These weightings enable to choose a representative tweet, as the tweet
with higher value adding up weights of its terms.
Arkaitz Zubiaga (UNED)
Real-time mining of Twitter
December 19th, 2011
38 / 43
40. Our Work (II): Real-Time Summarization of Events
Main findings
Use of state-of-the-art text analysis methods generates accurate
summaries:
With precision and recall values above 80% (100% for key
sub-events).
In real-time as the game is being played.
In 3 different languages (es, en, pt).
Without need of external data.
Damiano Spina, Arkaitz Zubiaga, Enrique Amig´, Julio Gonzalo. Towards
o
Real-Time Summarization of Events from Twitter Streams. To Appear.
Arkaitz Zubiaga (UNED)
Real-time mining of Twitter
December 19th, 2011
40 / 43
41. Outlook
Index
1
Motivation
2
Our Work (I): Classification of Trending Topics
3
Our Work (II): Real-Time Summarization of Events
4
Outlook
Arkaitz Zubiaga (UNED)
Real-time mining of Twitter
December 19th, 2011
41 / 43
42. Outlook
Outlook
Work 1:
Further dig into each type of trending topic, in order to look for
subtypes of trends.
Work 2:
Evaluate the performance of the summarizer on other kinds of
scheduled events (award ceremonies, keynote talks,...)
Evaluate novelty of information garnered from tweets.
Arkaitz Zubiaga (UNED)
Real-time mining of Twitter
December 19th, 2011
42 / 43