Text Mining and Analytics

开始时间: 08/08/2020 持续时间: Unknown

所在平台: Coursera

课程类别: 计算机科学

大学或机构: CourseraNew


课程主页: https://www.coursera.org/learn/text-mining

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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.

文本挖掘和分析:本课程将涵盖挖掘和分析文本数据以发现有趣的模式,提取有用的知识并支持决策的主要技术,重点是通常可应用于任意自然文本数据的统计方法无需或只需很少的人力即可完成的语言。 对文本数据进行详细分析需要了解自然语言文本,这对计算机来说是一项艰巨的任务。但是,已经显示出许多统计方法对于文本数据的“浅”但健壮的分析非常有用,可以进行模式发现和知识发现。您将学习文本挖掘及其潜在应用中的基本概念,原理和主要算法。


During this module, you will learn the overall course design, an overview of natural language processing techniques and text representation, which are the foundation for all kinds of text-mining applications, and word association mining with a particular focus on mining one of the two basic forms of word associations (i.e., paradigmatic relations).



This course will cover the major techniques for mining and analyzing text data to discover


文本挖掘 文本分析 NLP 自然语言处理 文本挖掘与分析 伊利诺伊大学香槟分校 数据挖掘