4.5

(4)

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Course Features

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Duration

31 hours

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Delivery Method

Online

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Available on

Limited Access

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Accessibility

Mobile, Desktop, Laptop

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Language

English

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Subtitles

English

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Level

Beginner

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Teaching Type

Self Paced

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Video Content

31 hours

Course Description

In recent years, natural language text data has seen a rapid increase in popularity, including web pages and news articles, scientific literature and emails. It also includes social media like blog articles, forum posts and product reviews. Text data is unique because they are often generated by humans and not by computers or sensors. This makes them particularly valuable for discovering information about people's preferences and opinions, as well as other types of knowledge encoded in text.

Course Overview

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Alumni Network

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International Faculty

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Hands-On Training,Instructor-Moderated Discussions

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Case Studies, Captstone Projects

Skills You Will Gain

What You Will Learn

You will gain knowledge on Information Retrieval (IR)

You will gain knowledge on Document Retrieval

You will gain knowledge on Machine Learning

You will gain knowledge on Recommender Systems

Course Instructors

ChengXiang Zhai

Department of Computer Science

ChengXiang Zhai is a Professor of Computer Science at the University of Illinois at Urbana-Champaign, where he also holds a joint appointment at the Institute for Genomic Biology, Statistics, and the...

Course Reviews

Average Rating Based on 4 reviews

4.5

100%

Course Cover