• Title: Theory and Applications for Advanced Text Mining
• Author(s) Shigeaki Sakurai
• Publisher: InTech; eBook (Creative Commons Licensed)
• License(s): Creative Commons License (CC)
• Hardcover: 218 pages
• eBook: PDF Files
• Language: English
• ISBN-10/ASIN: B00ABDHNB0
• ISBN-13: 978-953-51-0852-8
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Book Description

Due to the growth of computer technologies and web technologies, we can easily collect and store large amounts of text data. We can believe that the data include useful knowledge. Text mining techniques have been studied aggressively in order to extract the knowledge from the data since late 1990s.

The purpose of Text Mining is to process unstructured information, extract meaningful numeric indices from the text, and, thus, make the information contained in the text accessible to the various data mining algorithms. Information can be extracted to derive summaries for the words contained in the documents or to compute summaries for the documents based on the words contained in them.

Unstructured text is very common, and in fact may represent the majority of information available to a particular research or data mining project. Even if many important techniques have been developed, the text mining research field continues to expand for the needs arising from various application fields.

• Amazon

• Data Analysis and Data Mining
• Natural Language Processing
• Big Data
• Data Science

• Theory and Applications for Advanced Text Mining (Shigeaki Sakurai)
• PDF Format
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