Chapter 10. Mining Text and Web Data
In this chapter, you will learn the algorithm written in R for text mining and web data mining.
For text mining, the semistructured and nonstructured documents are the main dataset. There are a few of major categories of text mining, such as clustering, document retrieval and representation, and anomaly detection. The application of text mining includes, but is not limited to, topic tracking, and text summarization and categorization.
Web content, structure, and usage mining is one application of web mining. Web mining is also used for user behavior modeling, personalized views and content annotation, and so on. In another aspect, web mining integrates the result information from the traditional data-mining technologies ...
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