Advanced Social, Text and Media Analytics
24CSE783 · S7 · 4 credits
Official KTU 2024 syllabus subject — study with practice, PYQs and AI tools.
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Strategy: High-yield concepts + PYQs + weak areas
Why:Foundation module
Why:High exam relevance
Why:Core module
Why:Applied concepts
Why:Standard exam coverage
Module 01Text Processing (9 hours)expand
Introduction to information retrieval, Inverted indices and Boolean queries, Processing unstructured and semi-structured data. Text encoding, tokenization, lemmatization and stop words, Proximity and phrase queries, Positional indices, Index compression, lexicon compressing and posting list compression, Gap encoding, gamma codes, Zipf's law.
Module 02Text Analytics (8 hours)expand
Text classification techniques, Topic model fundamentals, Document-term matrix, Latent Dirichlet Allocation (LDA), Latent Semantic Indexing (LSI), Other topic modeling algorithms, Practical aspects of topic model tuning.
Module 03Social Media Analytics (6 hours)expand
Social Media Data Processing - Social media data basics, Classification of social data, Modeling of social data. Purpose of Social Media Analytics, Social Media vs. Traditional Business Analytics, Seven Layers of Social Media Analytics, Types of Social Media Analytics, Social Media Analytics Cycle, Challenges to Social Media Analytics, Social Media Analytics Tools
Module 04Social Media Network and Hyperlink Analytics (6 hours)expand
Social Media Network Analytics - Common Network Terms, Common Social Media Network Types, Common Network Terminologies, Network Analytics Tools. Social Media Action Analytics - Common Social Media Actions, Actions Analytics Tools. Social Media Hyperlink Analytics - Types of Hyperlinks, Types of Hyperlink Analytics, Hyperlink Analytics Tools
Module 05Social Media Location and Search Engine Analytics (7 hours)expand
Location Analytics - Sources of Location Data, Categories of Location Analytics, Location Analytics and Privacy Concerns, Location Analytics Tools. Search Engine Analytics - Types of Search Engines, Search Engine Analytics, Search Engine Analytics Tools. Social Information Filtering - Social Sharing and filtering, Automated Recommendation systems, Traditional Vs social Recommendation Systems
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