Giving a broad perspective of the field from numerous vantage points, Text Mining: Classification, Clustering, and Applications focuses on statistical methods for text mining and analysis. It examines methods to automatically cluster and classify text documents and applies these methods in a variety of areas, including adaptive information filtering, information distillation, and text search.
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Text Mining Classification, Clustering, and Applications
The book begins with chapters on the classification of documents into predefined categories. It presents state-of-the-art algorithms and their use in practice. The next chapters describe novel methods for clustering documents into groups that are not predefined. These methods seek to automatically determine topical structures that may exist in a document corpus. The book concludes by discussing various text mining applications that have significant implications for future research and industrial use.
₹3,111.00₹9,150.00
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| Book Author | Ashok N. Srivastava, Mehran Sahami |
|---|---|
| Edition | 1st |
| Format | Hardback |
| ISBN | 9781420059403 |
| Language | English |
| Pages | 322 |
| Publication Year | |
| Publisher |
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