Social Media and Cognitive Analytics using R

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Duration: 3 days
Timings: 1000hrs -1530hrs
Dates: April 22-24, 2022
Programme Director: Prof. Arghya Ray
Mode: Online
Fees: Rs.9000 Plus GST @18%

Programme Introduction:

Social media has become an integral part of our day to day activities. Every business must now track the flow of public opinions about their products and determine how, or if, they should engage their communities. The sheer volume and immense diversity of sources are intimidating. Add to that, social media never stops, and that its ideas and attitudes are completely fluid, changing at the speed of communication.

Social media analytics is the practice of gathering data from social media websites and analyzing data using social media analytics tools to make business decisions. The most common use of social media analytics is to mine customer sentiment to support marketing and customer service activities. Cognitive technologies have been around for years; what’s new is the advancement in processing power that makes applying these technologies more feasible for quickly answering complex questions. “Cognitive analytics” is a term used to describe how organizations apply analytics and cognitive computing technologies to help humans make smarter decisions.

Programme Objective:

The main objective is to impart knowledge on the emerging trends in text mining, web mining and social network analytics, enabling participants to understand and appreciate the importance of making meaningful use of the large volume of unstructured data available in social media and other sources in decision-making processes in the various functional area of management.

Programme Content:

1. Introduction to social media and cognitive analytics
2. Introduction to Natural Language Processing (NLP)
3. Introduction to basics of R.
4. Sentiment Analysis and Emotion Analysis.
5. Introduction to web Mining
6. Extracting Data from Twitter and performing basic analysis
7. Unstructured data: Giving structure to unstructured data.
8. Basic approaches to represent text documents
9. Social Network analysis
10. Supervised vs Unsupervised Learning overview
11. Naïve Bayes Classifier. kNN Classifier
12. Examining performance of classifiers.
13. Introducing concepts of TF-IDF
14. Performing cognitive analytics on Textual data

Programme Methodology:

All the topics contain a blend of discussions on basic theories and advanced topics, focusing on the practical implementation of knowledge. The sessions will be conducted by lecture, hands on exercises as well as PowerPoint presentation as per requirement. The tutorials will familiarize the participants with practical problem-solving techniques. Participants will be able to gain a strong understanding of the course via theoretical sessions, practical sessions, case study discussions, problem-solving and discussions with the facilitator.

Target Organizations:

IT sector companies, Marketing Organizations, MBA graduates

Target Participants:

Professionals working in IT companies or in the marketing domain.

Program Faculty:

Prof. Arghya Ray has done his PhD (Information Systems and Business Analytics) from IIM Ranchi and B.Tech. (Silver Medalist) in Computer Science and Engineering from SRM University. Prof. Arghya has an experience of working as an Assistant Professor in Adamas University, and a Visiting Faculty at IIM Jammu, IIFT Delhi and Birla Global University. He also has industrial experience of two years at TCS Limited. He has to his credit many publications in top-level ABDC and ABS listed journals. His research mainly focusses on understanding customer perspectives from social-media feeds in different domains like food delivery, e-learning and travel agency services. He is also an editorial review board member of the ‘International Journal of Electronic Government Research’ and is in the program committee of the international conference ‘Digital Marketing & eCommerce’.

Corporate Group Discount:

One complimentary nomination for every group of three nominations from the same organization, i.e., 3+1 participants for the fee of 3 participants.

For registration/enquiries , please mail to exed@fsm.ac.in or call at 011-26856301/ + 91 9166085159/ +91 9810875278/ + 91 7976445970

 

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