Social Text and Media Analytics detailed syllabus for Computer Science & Business Systems (CS&BS) for 2021 regulation curriculum has been taken from the Anna Universities official website and presented for the CS&BS students. For course code, course name, number of credits for a course and other scheme related information, do visit full semester subjects post given below.
For Computer Science & Business Systems 6th Sem scheme and its subjects, do visit CS&BS 6th Sem 2021 regulation scheme. For Professional Elective-VI scheme and its subjects refer to CS&BS Professional Elective-VI syllabus scheme. The detailed syllabus of social text and media analytics is as follows.
Course Objectives:
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Unit I
INTRODUCTION TO SOCIAL MEDIA ANALYSIS
Social media landscape, Need for SMA; SMA in Small organizations; SMA in large organizations; Application of SMA in different areas. Network fundamentals and models:
The social networks perspective – nodes, ties and influencers, Social network and web data and methods. Graphs and Matrices- Basic measures for individuals and networks. Information visualization.
Unit II
OVERVIEW OF TEXT MINING AND DATA MINING
Overview of text mining- Definition- General Architecture- Algorithms- Core Operations -Preprocessing-Types of Problems- basics of document classification- information retrievalclustering and organizing documents- information extraction- prediction »and evaluationIntroduction to Data Mining Systems – Knowledge Discovery Process – Data Mining Techniques -Issues – applications- Data Objects and attribute types, Statistical description of data, Data Preprocessing – Cleaning, Integration, Reduction, Transformation and discretization, Data Visualization, Data similarity and dissimilarity measures.
Unit III
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Unit IV
WEB ANALYTICS TOOLS
Click stream analysis, A/B testing, online surveys, Web crawling and Indexing. Natural Language Processing Techniques for Micro-text Analysis. Do a case study on Google analytics.
Unit V
MARKETING RESEARCH & TRENDS IN MARKET
Introduction, parameters, demographics. Analyzing page audience. Reach and Engagement analysis. Post- performance on FB. Social campaigns. Measuring and Analyzing social campaigns, defining goals and evaluating outcomes, Network Analysis. Case study : Identify Consumer Preferences and Market Positioning of a New Product.
Course Outcomes:
- Understand about social, text and media mining
- Understand the significance of social text and media analytics
- Learn tools of social, text and media analytics.
- Develop skills required for analyzing the effectiveness of social text and media for business purposes
- Know the applications in real time systems.
Text Books:
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Reference Books:
- 1.Matthew Ganis, Avinash Kohirkar , Social Media Analytics: Techniques and Insights for Extracting Business Value Out of Social Media, Pearson, 2016.
- Jim Sterne, Social Media Metrics: How to Measure and Optimize Your Marketing Investment, Wiley, 2010.
- Oliver Blanchard ,Social Media ROI: Managing and Measuring Social Media Efforts in Your Organization (Que Biz-Tech), 2019
- Sholom Weiss, Nitin Indurkhya, Tong Zhang, Fred Damerau “The Text Mining Handbook: Advanced Approaches in Analyzing Unstructured Data”, Springer, paperback 2010
- Ronen Feldman, James Sanger -“ The Text Mining Handbook: Advanced Approaches in Analyzing Unstructured Data”, Springer, paperback 2010.
- Tracy L. Tuten, Michael R. Solomon, Social Media Marketing , Sage, 2016.
For detailed syllabus of all the other subjects of Computer Science & Business Systems 6th Sem, visit CS&BS 6th Sem subject syllabuses for 2021 regulation.
For all Computer Science & Business Systems results, visit Anna University CS&BS all semester results direct link.