Text Mining

Lambert M Surhone

Published by VDM Verlag Dr. Müller E.K. Dez 2009, 2009

About this Item

This item is printed on demand - it takes 3-4 days longer - Neuware -High Quality Content by WIKIPEDIA articles! Text mining, sometimes alternately referred to as text data mining, roughly equivalent to text analytics, refers to the process of deriving high-quality information from text. High-quality information is typically derived through the divining of patterns and trends through means such as statistical pattern learning. Text mining usually involves the process of structuring the input text (usually parsing, along with the addition of some derived linguistic features and the removal of others, and subsequent insertion into a database), deriving patterns within the structured data, and finally evaluation and interpretation of the output. 'High quality' in text mining usually refers to some combination of relevance, novelty, and interestingness. Typical text mining tasks include text categorization, text clustering, concept/entity extraction, production of granular taxonomies, sentiment analysis, document summarization, and entity relation modeling (i.e., learning relations between named entities). Englisch.

Seller Inventory # 9786130319014

Bibliographic Details

• Title: Text Mining
• Publisher: VDM Verlag Dr. Müller E.K. Dez 2009
• Publication Date: 2009
• Binding: Taschenbuch
• Condition: Neu
• Dimensions: 22W x 15H x 0.4D centimeters 22 centimeters width by 15 centimeters height by 0.4 centimeters depth
• Weight: 118 grams