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Overview

This course starts with the basics of text processing including basic pre-processing, spelling correction, language modeling, Part-of-Speech tagging, Constituency and Dependency Parsing, Lexical Semantics, distributional Semantics and topic models. Finally, the course also covers some of the most interesting applications of text mining such as entity linking, relation extraction, text summarization, text classification, sentiment analysis and opinion mining.

Pre-requisites Basic knowledge of probabilities for the lectures and python for programming assignment
Industries Applicable Microsoft Research, Google, Adobe, Xerox, Flipkart, Amazon

Syllabus

COURSE LAYOUT

Week 1: Introduction and Basic Text Processing
Week 2: Spelling Correction, Language Modeling
Week 3: Advanced smoothing for language modeling, POS tagging
Week 4: Models for Sequential tagging – MaxEnt, CRF
Week 5: Syntax – Constituency Parsing
Week 6: Dependency Parsing
Week 7: Distributional Semantics
Week 8: Lexical Semantics
Week 9: Topic Models
Week 10: Entity Linking, Information Extraction
Week 11: Text Summarization, Text Classification
Week 12: Sentiment Analysis and Opinion Mining

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