Hands-on Text Mining and Analytics

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5

(8)

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Course Features

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Duration

13 hours

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Delivery Method

Online

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Available on

Lifetime Access

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Accessibility

Desktop, Laptop

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Language

English

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Subtitles

English

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Level

Intermediate

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Teaching Type

Self Paced

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Video Content

13 hours

Course Description

This course provides a unique opportunity for students to learn key components of text mining and analytics. It also includes data visualization using real-world datasets. The course will provide hands-on training in core text mining techniques such as topic modeling, sentiment analysis, preprocessing text and preprocessing text.

Learning will be easier if learners bring together lectures and lab sessions based on the yTextMiner toolkit. This will allow them to create text mining applications that are interesting.

Course Overview

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International Faculty

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Post Course Interactions

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Instructor-Moderated Discussions

Skills You Will Gain

What You Will Learn

Text Analysis Techniques

Sentiment Analysis

Course Instructors

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Min Song

Professor

Min Song is a Underwood Distinguished Professor in the Department of Library and Information Science at Yonsei University. Prior to Yonsei, Min was an Associate Professor of the Department of Informa...

Course Reviews

Average Rating Based on 8 reviews

5.0

100%

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