An on-going project on Natural Language Processing (using Python and the NLTK toolkit), which focuses on the extraction of sentiment from a Question and its title on www.stackoverflow.com and determining the polarity.Based on the above findings, it is verified whether the rules and guidelines imposed by the SO community on the users are strictly followed or not.
Natural Language Processing is a subfield of Artificial Intelligence and linguistics, devoted to make computers understand the statements or words written by humans.
In this seminar we discuss its issues, and its working etc...
Introduction to Natural Language ProcessingPranav Gupta
the presentation gives a gist about the major tasks and challenges involved in natural language processing. In the second part, it talks about one technique each for Part Of Speech Tagging and Automatic Text Summarization
Natural language processing provides a way in which human interacts with computer / machines by means of voice.
"Google Search by voice is the best example " which makes use of natural language processing..
NLP is the branch of computer science focused on developing systems that allow computers to communicate with people using everyday language. Also called Computational Linguistics – Also concerns how computational methods can aid the understanding of human language
Natural Language Processing is a subfield of Artificial Intelligence and linguistics, devoted to make computers understand the statements or words written by humans.
In this seminar we discuss its issues, and its working etc...
Introduction to Natural Language ProcessingPranav Gupta
the presentation gives a gist about the major tasks and challenges involved in natural language processing. In the second part, it talks about one technique each for Part Of Speech Tagging and Automatic Text Summarization
Natural language processing provides a way in which human interacts with computer / machines by means of voice.
"Google Search by voice is the best example " which makes use of natural language processing..
NLP is the branch of computer science focused on developing systems that allow computers to communicate with people using everyday language. Also called Computational Linguistics – Also concerns how computational methods can aid the understanding of human language
And then there were ... Large Language ModelsLeon Dohmen
It is not often even in the ICT world that one witnesses a revolution. The rise of the Personal Computer, the rise of mobile telephony and, of course, the rise of the Internet are some of those revolutions. So what is ChatGPT really? Is ChatGPT also such a revolution? And like any revolution, does ChatGPT have its winners and losers? And who are they? How do we ensure that ChatGPT contributes to a positive impulse for "Smart Humanity?".
During a key note om April 3 and 13 2023 Piek Vossen explained the impact of Large Language Models like ChatGPT.
Prof. PhD. Piek Th.J.M. Vossen, is Full professor of Computational Lexicology at the Faculty of Humanities, Department of Language, Literature and Communication (LCC) at VU Amsterdam:
What is ChatGPT? What technology and thought processes underlie it? What are its consequences? What choices are being made? In the presentation, Piek will elaborate on the basic principles behind Large Language Models and how they are used as a basis for Deep Learning in which they are fine-tuned for specific tasks. He will also discuss a specific variant GPT that underlies ChatGPT. It covers what ChatGPT can and cannot do, what it is good for and what the risks are.
Natural Language Processing(NLP) is a subset Of AI.It is the ability of a computer program to understand human language as it is spoken.
Contents
What Is NLP?
Why NLP?
Levels In NLP
Components Of NLP
Approaches To NLP
Stages In NLP
NLTK
Setting Up NLP Environment
Some Applications Of NLP
myassignmenthelp is premier service provider for NLP related assignments and projects. Given PPT describes processes involved in NLP programming.so whenever you need help in any work related to natural language processing feel free to get in touch with us.
As a data science Intern at Leapcheck Services private limited, I have developed a naive chatbot using sequence to sequence model by LSTM of RNN. Sharing the tutorial which I made explicitly for the deep learning enthusiasts to
provide them a basic insight on how chatbot can be developed with the help of recurrent neural network.
These slides are an introduction to the understanding of the domain NLP and the basic NLP pipeline that are commonly used in the field of Computational Linguistics.
What one needs to know to work in Natural Language Processing field and the aspects of developing an NLP project using the example of a system to identify text language
Chatbot and Virtual AI Assistant Implementation in Natural Language Processing Shrutika Oswal
In this presentation, I have given a short overview of hot recent topics of research in artificial intelligence. These topics include Gaming, Expert System, Vision System, Speech Recognition, Handwriting Recognition, Intelligent Robots, Machine Learning, Deep Learning, Robotics, Reinforcement Learning, Internet of Things, Neuromorphic Computing, Computer Vision and most important NLP (Natural language Processing). Here I have mentioned different fields and components of NLP along with the steps of implementation. In the further part of the presentation, I have described the general structure of chatbot in NLP along with its implementation algorithm in python language. Also, I have given some informative descriptions, technologies, usage, and working of virtual AI assistants along with this I implemented one virtual assistant for laptop who will able to perform some interesting tasks.
The Text Classification slides contains the research results about the possible natural language processing algorithms. Specifically, it contains the brief overview of the natural language processing steps, the common algorithms used to transform words into meaningful vectors/data, and the algorithms used to learn and classify the data.
To learn more about RAX Automation Suite, visit: www.raxsuite.com
A Belief Rule Based (BRB) Decision Support System to Assess Clinical Asthma S...Khalid Md Saifuddin
Asthma is a common chronic disease that affects millions of people in the world. The most common signs and symptoms of asthma are cough, breathlessness, wheeze, chest tightness and respiratory rate. These signs and symptoms can’t be measured accurately since they consist of various types of uncertainties such as vagueness, imprecision, randomness, ignorance, incompleteness. Consequently, traditional disease suspicion, which is carried out by the physician, is unable to deliver accurate results. Hence, this paper presents the design, development and application of a decision support system to assess asthma suspicion under uncertainty. Belief Rule-Base Inference Methodology Using the Evidential Reasoning Approach (RIMER) was adopted to develop this expert system that is named as Belief Rule Based Expert System (BRBES). The system has the capability to handle various types of uncertainties both in knowledge representation and inference procedures. The knowledgebase of this system was constructed by taking account of real patient data and expert’s opinion. The practical case studies were used to validate this system. It was observed that the system generated results are more effective and reliable in terms of accuracy than the results generated by a manual system.
And then there were ... Large Language ModelsLeon Dohmen
It is not often even in the ICT world that one witnesses a revolution. The rise of the Personal Computer, the rise of mobile telephony and, of course, the rise of the Internet are some of those revolutions. So what is ChatGPT really? Is ChatGPT also such a revolution? And like any revolution, does ChatGPT have its winners and losers? And who are they? How do we ensure that ChatGPT contributes to a positive impulse for "Smart Humanity?".
During a key note om April 3 and 13 2023 Piek Vossen explained the impact of Large Language Models like ChatGPT.
Prof. PhD. Piek Th.J.M. Vossen, is Full professor of Computational Lexicology at the Faculty of Humanities, Department of Language, Literature and Communication (LCC) at VU Amsterdam:
What is ChatGPT? What technology and thought processes underlie it? What are its consequences? What choices are being made? In the presentation, Piek will elaborate on the basic principles behind Large Language Models and how they are used as a basis for Deep Learning in which they are fine-tuned for specific tasks. He will also discuss a specific variant GPT that underlies ChatGPT. It covers what ChatGPT can and cannot do, what it is good for and what the risks are.
Natural Language Processing(NLP) is a subset Of AI.It is the ability of a computer program to understand human language as it is spoken.
Contents
What Is NLP?
Why NLP?
Levels In NLP
Components Of NLP
Approaches To NLP
Stages In NLP
NLTK
Setting Up NLP Environment
Some Applications Of NLP
myassignmenthelp is premier service provider for NLP related assignments and projects. Given PPT describes processes involved in NLP programming.so whenever you need help in any work related to natural language processing feel free to get in touch with us.
As a data science Intern at Leapcheck Services private limited, I have developed a naive chatbot using sequence to sequence model by LSTM of RNN. Sharing the tutorial which I made explicitly for the deep learning enthusiasts to
provide them a basic insight on how chatbot can be developed with the help of recurrent neural network.
These slides are an introduction to the understanding of the domain NLP and the basic NLP pipeline that are commonly used in the field of Computational Linguistics.
What one needs to know to work in Natural Language Processing field and the aspects of developing an NLP project using the example of a system to identify text language
Chatbot and Virtual AI Assistant Implementation in Natural Language Processing Shrutika Oswal
In this presentation, I have given a short overview of hot recent topics of research in artificial intelligence. These topics include Gaming, Expert System, Vision System, Speech Recognition, Handwriting Recognition, Intelligent Robots, Machine Learning, Deep Learning, Robotics, Reinforcement Learning, Internet of Things, Neuromorphic Computing, Computer Vision and most important NLP (Natural language Processing). Here I have mentioned different fields and components of NLP along with the steps of implementation. In the further part of the presentation, I have described the general structure of chatbot in NLP along with its implementation algorithm in python language. Also, I have given some informative descriptions, technologies, usage, and working of virtual AI assistants along with this I implemented one virtual assistant for laptop who will able to perform some interesting tasks.
The Text Classification slides contains the research results about the possible natural language processing algorithms. Specifically, it contains the brief overview of the natural language processing steps, the common algorithms used to transform words into meaningful vectors/data, and the algorithms used to learn and classify the data.
To learn more about RAX Automation Suite, visit: www.raxsuite.com
A Belief Rule Based (BRB) Decision Support System to Assess Clinical Asthma S...Khalid Md Saifuddin
Asthma is a common chronic disease that affects millions of people in the world. The most common signs and symptoms of asthma are cough, breathlessness, wheeze, chest tightness and respiratory rate. These signs and symptoms can’t be measured accurately since they consist of various types of uncertainties such as vagueness, imprecision, randomness, ignorance, incompleteness. Consequently, traditional disease suspicion, which is carried out by the physician, is unable to deliver accurate results. Hence, this paper presents the design, development and application of a decision support system to assess asthma suspicion under uncertainty. Belief Rule-Base Inference Methodology Using the Evidential Reasoning Approach (RIMER) was adopted to develop this expert system that is named as Belief Rule Based Expert System (BRBES). The system has the capability to handle various types of uncertainties both in knowledge representation and inference procedures. The knowledgebase of this system was constructed by taking account of real patient data and expert’s opinion. The practical case studies were used to validate this system. It was observed that the system generated results are more effective and reliable in terms of accuracy than the results generated by a manual system.
How to Ask for Technical Help? Evidence-based Guidelines for Writing Question...Fabio Calefato
Slides presenting results from our IST paper (https://arxiv.org/abs/1710.04692) / IEEE Software blog post (http://blog.ieeesoftware.org/2017/11/can-we-trust-stack-overflow-netiquette.html) investigating whether we can trust Stack Overflow netiquette for writing better questions.
In a whiteboard interview, your goal should be to convince the manager that you will be a positive influence on the team and contribute to the team's success. This guide will help you set the right mindset, ask the right questions, and showcase your strengths.
How to Effectively Lead a Focus Group by nexTier Product ManagerProduct School
Talking to users can be challenging or intimidating, and running a focus group is one of those tasks which most Product Managers would say is essential in getting real user insights. Traditionally, UX designers and Product Managers have relied on a combination of quantitative data and qualitative insights from focus groups and interviews.
Whether you want to test your user group's response to a new product or changes to modules or features within an existing product, as a product person you need to have a creative set of analytical skills and strategies for how to steer the group toward productive discussions.
Tremis Skeete talked about how focus groups can truly work well for you, and how you can organize, coordinate, and effectively lead focus group sessions.
Basic overview of software test types, methodologies.
Explaining and reasons to test and common pitfalls with various testing methodologies.
Example scenarios for the viewer to think about test strategies.
Tips to avoid having to write tests in the first place.
Content created and presented by Nico Heidtke at the "Die Programmierer" meetup organized by Binary-Gears in Darmstadt, Germany at 02.07.2019.
This presentation is an introduction to the field of technical writing based on my personal journey and philosophy of documentation, and was presented to the first meeting of Write The Docs Nigeria on February 20, 2021.
Making a website is more then making pretty picture and some sales jargon. You have to fully understand the project, your audience, current traffic trends and the even more important – the business goals before every writing a line of code.
Global Interview - It has been noted that android apps developers work best with software that is convenient to create. Employers are also encouraged to create templates to lessen the burden on the developers.
What is Lean UX? Come get introduced to the topic of Lean UX and learn the fundamentals of this approach, and how it is revolutionizing the field of UX with UserTesting. Discover how constant iterating through cycles and learning from each cycle can create products which can overcome business challenges and meet customer needs, while saving big bucks, resources, and time.
We will cover the basic principles of Lean UX, and how UserTesting fits into this model of research.
How to Effectively Lead Focus Groups: Presented at Product School NYC Tremis Skeete
As seen on: https://www.meetup.com/productmanagementNY/events/247800115/
Talking to users can be challenging or intimidating, and running a focus group is one of those tasks which most Product Managers would say is essential in getting real user insights. Traditionally, UX designers and Product Managers have relied on a combination of quantitative data and qualitative insights from focus groups and interviews.
Whether you want to test your user group's response to a new product or changes to modules or features within an existing product, as a product person you need to have a creative set of analytical skills and strategies for how to steer the group toward productive discussions. Let's get together to discuss how focus groups can truly work well for you, and how you can organize, coordinate, and effectively lead focus group sessions.
Main takeaways:
- The do's and don'ts when leading focus groups
- What it takes to guide a productive conversation and avoid groupthink
- How to connect with participants in order to generate informative responses
- Ways to articulate your focus group strategies
- Methods for asking questions and capturing insights
Meet the Speaker: Tremis Skeete
Tremis is a Technical Product Manager at NexTier Innovations, a management consultancy specializing in Multi-Dimensional Analytics, Project Portfolio Intelligence, and Enterprise Cyber and Infrastructure Security. He comes from a Computer Science background and has 15+ years of experience working with design teams. He has helped clients such as Zel Technologies, The Altria Group, Barclays Bank, US Department of Defense and L’oreal. During his time working with these companies he helped build web sites, applications, intranets, and graphic communications across multiple platforms.
Hack It 'Til You Make It: Acing The Technical Interviewjaysonjphillips
This presentation is a /dev/color workshop delivered by engineers Kaanon MacFarlane, Jayson Phillips and Devaris Brown on the topic of technical interviews. Here we provide some tips, tricks, reminders and notes on how to prepare for on-site engineering-focused sessions as a candidate going through the process of obtaining a new role.
This presentation was given at Blavity's Afrotech Conference at Bespoke in San Francisco, California on November 12th, 2016.
About /dev/color
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#2 in a 3-part series on UX Fundamentals: Talking with Users
Understand why you should talk to users to uncover, validate and/or understand their goals.
Learn how and when to talk with your users:
User research methods
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Best practices for interviews
An Ultimate Guide To Hire Python DeveloperRishiVardhaniM
If you are looking for a python developer, it is not as easy as it sounds. There are many factors that come into play when hiring a developer. This guide will help you find the best python developer for your project.
https://www.hackerearth.com/recruit/resources/e-books/hire-python-developer/
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Model Attribute Check Company Auto PropertyCeline George
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Synthetic Fiber Construction in lab .pptxPavel ( NSTU)
Synthetic fiber production is a fascinating and complex field that blends chemistry, engineering, and environmental science. By understanding these aspects, students can gain a comprehensive view of synthetic fiber production, its impact on society and the environment, and the potential for future innovations. Synthetic fibers play a crucial role in modern society, impacting various aspects of daily life, industry, and the environment. ynthetic fibers are integral to modern life, offering a range of benefits from cost-effectiveness and versatility to innovative applications and performance characteristics. While they pose environmental challenges, ongoing research and development aim to create more sustainable and eco-friendly alternatives. Understanding the importance of synthetic fibers helps in appreciating their role in the economy, industry, and daily life, while also emphasizing the need for sustainable practices and innovation.
2. NLP Definition :
The term Natural Language Processing encompasses a
broad set of techniques for automated generation,
manipulation and analysis of natural or human
languages.
So, NLP comprises of mainly three things –
• Automated Generation of Natural Languages.
• Text manipulation of Natural Languages.
• General analysis of Natural Languages.
3. Diving into the project
This project focuses on the following website :
www.stackoverflow.com
A major Questions and Answers forum for
developers and programmers.
4. Brilliance of stackoverflow:
• One can expect answers to his question within
10 - 15 minutes (in general).
• Comprises of tags ranging from “python” to
“java” to even fields like “image processing”
and “artificial intelligence”.
5. Downsides of stackoverflow:
• Comprises a very strict Voting mechanism which
becomes even more difficult for a beginner to
handle.
• Questions and answers which are written in a very
uncanny or strange way results into down-votes ,
which even decrements the overall reputation of the
user.
6. Major Reasons behind receiving down-
votes :
• Questions showing no Research effort.
• Endeavors framed but not mentioned in the
question. ”What have you tried?” is a very common
reply to questions which do not consist of personal
effort.
• Questions or answers consisting of broken links are
likely to get downvoted.
7. • If the title of the question is not correctly formatted
i.e. it starts with “How do I” etc. then the question is
a contender of receiving down-votes.
• Titles of questions consisting of negative polarity or
negativity in their posts are unlikely to go viral. We
conclude this from the Jonah Berger and Katherine L.
Milkman paper on viral content of internet.
8. What is a badly formatted title?
According to Stack Overflow community, the following
are the examples of badly formatted titles:
• Titles starting with “How do I”, or “How can I” are
categorized as badly formatted.
• Titles which consists of a tag keywords. If the
question consists a tag word, it is also considered as
badly formatted.
9. Major Goals in the project
• Does high-rated questions consists of titles which are
well-formatted?
• Does sentiment of the title of a question play a
significant role in the success of a question? Do titles
which consist of positive sentiment draw more
attention?
10. Major benefits of this project:
• New programmers and developers will be able to
judge their mistakes while framing a particular
question or an answer. This will reduce the chances
of receiving down-votes and not getting blocked by
moderators.
• This will also result in neater and cleaner questions
which will make life easier for existing developers to
answer questions.
11. END
• Anirban Ghosh , Roll – 05 , IT Sec – A, 3rd year
• Aryak Sengupta, Roll – 14, IT Sec – A, 3rd year
Mentor
Prof. Tapan Kumar Hazra