开始时间: 04/22/2022 持续时间: 4 weeks
所在平台: CourseraArchive 课程类别: 计算机科学 大学或机构: University of Illinois at Urbana-Champaign( 伊利诺伊大学厄巴纳 - 香槟分校) 授课老师: ChengXiang Zhai |
课程主页: https://www.coursera.org/course/textanalytics
课程评论:没有评论
This course will cover the major techniques for mining and analyzing text data to discover interesting patterns, extract useful knowledge, and support decision making with an emphasis on statistical approaches that can be generally applied to arbitrary text data in any natural language with no or minimum human effort.
Detailed analysis of text data requires understanding of natural language text, which is known to be a difficult task for computers. However, a number of statistical approaches have been shown to work well for the "shallow," but robust analysis of text data for pattern finding and knowledge discovery. You will learn the basic concepts, principles, and major algorithms in text mining, and their potential applications.
This course will be covering the following topics: