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Yonsei University

Hands-on Text Mining and Analytics

Yonsei University via Coursera


This course provides an unique opportunity for you to learn key components of text mining and analytics aided by the real world datasets and the text mining toolkit written in Java. Hands-on experience in core text mining techniques including text preprocessing, sentiment analysis, and topic modeling help learners be trained to be a competent data scientists. Empowered by bringing lecture notes together with lab sessions based on the y-TextMiner toolkit developed for the class, learners will be able to develop interesting text mining applications.


  • Course Logistics and the Text Mining Tool for the Course
  • Text Preprocessing
  • Text Analysis Techniques
  • Term Weighting and Document Classification
  • Sentiment Analysis
  • Topic Modeling

Taught by

Min Song


5.0 rating, based on 1 Class Central review

3.9 rating at Coursera based on 40 ratings

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  • Very interesting courses, one can develop his/her skill and knowledge better. Keep it up your good work and create millions of skillful and experienced people.

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