文本挖掘和分析实践

Hands-on Text Mining and Analytics

1583 次查看
延世大学
Coursera
  • 完成时间大约为 24 个小时
  • 中级
  • 英语, 西班牙语, 中文
注:本课程由Coursera和Linkshare共同提供,因开课平台的各种因素变化,以上开课日期仅供参考

课程概况

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.

课程大纲

Course Logistics and the Text Mining Tool for the Course

Text Preprocessing

Text Analysis Techniques

Term Weighting and Document Classification

Sentiment Analysis

Topic Modeling

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