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Natural Language Processing

Indian Institute of Technology, Kharagpur via NPTEL

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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. 

Syllabus

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: 
Lexical Semantics 
Week 8: 
Distributional 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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