- June 30, 2021
- 10:00 AM - 2:00 PM
AI Pathshala on Deep Learning - Module 1
June 30, 2021
10:00 AM – 2:00 PM
AI Pathshala on Deep Learning – Module 1
Social & Sentiment Analytics
This workshop is in association with:
With the popularity of Social Media like Facebook, Blogs, Twitter and Interactive Company Websites for interaction with Customers and Suppliers, a large volume of Digital Data has been collected.
However, not all of this data is being put to decision making. The majority of these data are in the form of Text, Video, and Images etc. They are also collectively known as unstructured data, as they do not comply with standard definition of Databases.
Sentiment Analysis is a type of unstructured data analysis. It is a combination of Natural Language Processing, Statistics & Machine Learning to identify and extract subjective information from text.Some of the examples are Reviews of Products, Stock market Sentiment, Digital Marketing,E-Commerce, Employee Satisfaction Surveys, Social & Legal sector data. The information,so extracted, will be combined with other predictive analytic techniques such as Regression, Decision Trees to improve the Quality of Decision Making and consequently add to the bottom line.
This workshop will be fully hands-on, with real life data. Minimum theoretical concepts will be covered as and when required along with the Hands On Sessions. Open source GUI based software KNIME will be used, which is very powerful for Text and Image Processing software.
KNIME has been placed as a leader for Data Science and Machine Learning Platforms in Gartner Magic Quadrant.
Program Objectives
- Appreciate the challenges in handling unstructured data
- Integration of different sources of unstructured data from Blogs, Web Site Print, etc.
- How the information extracted from these sources will improve Decision Making
- Incorporation of Sentiment Information with predictive models
Learning Outcome
- Unstructured data integration from different sources
- Different data cleaning and pre-processing techniques adopted.
- Sentiment Extraction
- Topic Extraction
- Document Classification
- TData visualisation techniques like Word Map, Cloud Map, Tag Cloud etc
Workshop Schedule
The worskhop will be held on Wednesday, 30 June, 2021 from 10:00 AM – 2:00 PM.
- Introduction to Text Mining
- Text Pre-processing
- Text Transformation
- Brief Introduction to Neural Networks & Decision Trees in context of Text Classification
- Q&A
Who should attend?
This workshop will be beneficial for Business Analysts, Data Scientists, Faculty/Research Staff of Educational Institutions, AI Startups and students who would want to pursue their career in NLP and Machine Learning.
No programming experience is required. Only Microsoft EXCEL knowledge is required.
About the Speaker
Dr. Chandrashekar Subramanyam
Senior Professor , Jagdish Sheth school of Management
Regarded as one of the top Analytics Professor in the country today, he was the Chair Professor (July 1998 – Feb 2013) & officiating Director (April 2009 to Jan 2010) at FORE School of Management, New Delhi. He joined FORE School in 1988 as Senior Professor. There he also headed the software development function that saw building of prototype of products in areas of Business Intelligence, Risk Management, and Customer Relations Management.
He holds a Ph.D. from the University of Georgia, USA, Masters & Bachelors from IIT Kanpur and has a vast experience of more than 34 years in R&D, Academic & Industry in the area of Quantitative Techniques & IT. He teaches courses in the area of IT, Quantitative Techniques, Text Mining and Sentiment Analysis, and Advanced Market Research. He worked as Professor and Area Chair of Quantitative and Information systems group at IIM Lucknow for about ten years. He was the Member Secretary to IIM Lucknow Board for about three years. He was also a visiting Professor at Manchester Business School for about a year under Euro India exchange program.
Dr Chandrashekar has published in several International and National Journals and presented papers and chaired sessions at National and International forums. He has patents to his credit having filed a patent jointly with IFIM. He is working on his next patents in the area of Text Mining and Financial Analytics..
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