Machine Learning For Text - Charu C. Aggarwal

Text Analytics Is A Field That Lies On The Interface Of Information Retrieval,machine Learning, And Natural Language Processing, And This Textbook Carefully Covers A Coherently Organized Framework Drawn From These Intersecting Topics. The Chapters Of This Textbook Is Organized Into Three Categories:- Basic Algorithms: Chapters 1 Through 7 Discuss The Classical Algorithms For Machine Learning From Text Such As Preprocessing, Similarity Computation, Topic Modeling, Matrix Factorization, Clustering, Classification, Regression, And Ensemble Analysis.- Domain-sensitive Mining: Chapters 8 And 9 Discuss The Learning Methods From Text When Combined With Different Domains Such As Multimedia And The Web. The Problem Of Information Retrieval And Web Search Is Also Discussed In The Context Of Its Relationship With Ranking And Machine Learning Methods.