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Text Mining and Analytics

Course Summary

Explore algorithms for mining and analyzing big text data to discover interesting patterns, extract useful knowledge, and support decision making.


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    Course Syllabus

    This course will be covering the following topics:

    • Overview of text analytics and applications
    • Extending a search engine to support text analytics (text categorization, text clustering, text summarization)
    • Topic mining and analysis with statistical topic models
    • Opinion mining and summarization
    • Integrative analysis of text and structured data

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    Recommended Background

    Proficiency in programming with either C++ or Java. Basic knowledge of probability and statistics.

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    Course Format

    The course will have video lectures, accompanied by quizzes and peer graded assignments.


Course Fee:
Free

Course Type:

Self-Study

Course Status:

Active

Workload:

1 - 4 hours / week

This course is listed under Development & Implementations and Data & Information Management Community

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