Natural Language Processing

Natural Language Processing by Indian Institute of Technology, Kharagpur

Beginner 0(0 Ratings) 0 Students enrolled
Created by IIT Kharagpur Staff Last updated Wed, 02-Mar-2022 English


Natural Language Processing free videos and free material uploaded by IIT Kharagpur Staff .

Syllabus / What will i learn?

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



Curriculum for this course
0 Lessons 00:00:00 Hours
+ View more
Description

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 assignmentIndustries Applicable Microsoft Research, Google, Adobe, Xerox, Flipkart, Amazon

You need online training / explanation for this course?

1 to 1 Online Training contact instructor for demo :


+ View more

Other related courses
Updated Wed, 22-Apr-2020
Updated Wed, 24-Feb-2021
Updated Wed, 22-Apr-2020
Updated Thu, 30-Apr-2020
About the instructor
  • 0 Reviews
  • 8 Students
  • 351 Courses
+ View more
Student feedback
0
Average rating
  • 0%
  • 0%
  • 0%
  • 0%
  • 0%
Reviews

Material price :

Free

1:1 Online Training Fee: 1 /-
Contact instructor for demo :