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NLP-University.of.Michigan ✅

Introduction to Natural Language Processing by University of Michigan - Coursera

This course provides an introduction to the field of Natural Language Processing. It includes relevant background material in Linguistics, Mathematics, Probabilities, and Computer Science. Some of the topics covered in the class are Text Similarity, Part of Speech Tagging, Parsing, Semantics, Question Answering, Sentiment Analysis, and Text Summarization.

week1 - Introduction 1/2

week2 - Introduction 2/2

week3 - NLP Tasks and Text Similarity

week4 - Syntax and Parsing, Part 1

week5 - Syntax and Parsing, Part 2

week6 - Language Modeling

week7 - Part of Speech Tagging and Information Extraction

week8 - Question Answering

week9 - Text Summarization

week10 - Collocations and Information Retrieval

week11 - Sentiment Analysis and Semantics

week12 - Discourse, Machine Translation, and Generation

Taught by:

Dragomir R.Radev,PhD-College of Engineering, School of Information, School of Literature, Science and the Arts

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Created By Bilal Cagiran | E-Mail | Github | LinkedIn | CodePen | Blog/Site | FreeCodeCamp