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Natural Language Processing

IIT Kharagpur, , Prof. Prof. Pawan Goyal

Updated On 02 Feb, 19

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.

Includes

Lecture 1: Lecture 1: Introduction to the Course

4.1 ( 11 )

Lecture Details

Course Details

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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Comments
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Sam

Excellent course helped me understand topic that i couldn't while attendinfg my college.

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Dembe

Great course. Thank you very much.

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