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.

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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

WEEK 1: Course Logistics and the Text Mining Tool for the Course

WEEK 2: Text Preprocessing

WEEK 3: Text Analysis Techniques

WEEK 4: Term Weighting and Document Classification

WEEK 5: Sentiment Analysis

WEEK 6: Topic Modeling

MOOC List is learner-supported. When you buy through links on our site, we may earn an affiliate commission.

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