Online Course
Hands-on Text Mining and Analytics
Yonsei University via Coursera
Overview
Class Central Tips
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.
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.
Syllabus
Course Logistics and the Text Mining Tool for the Course
Text Preprocessing
Text Analysis Techniques
Term Weighting and Document Classification
Sentiment Analysis
Topic Modeling
Text Preprocessing
Text Analysis Techniques
Term Weighting and Document Classification
Sentiment Analysis
Topic Modeling
Taught by
Min Song
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