Mining Text Data. 1st ed. 2012

種類:

電子ブック

責任表示:

edited by Charu C. Aggarwal, ChengXiang Zhai

出版情報:

New York, NY : Springer New York : Imprint: Springer, 2012

著者名:

• Aggarwal, Charu C.
• Zhai, ChengXiang.
• SpringerLink (Online service)

ISBN:

9781461432234 [1461432235]    

注記:

An Introduction to Text Mining -- Information Extraction from Text -- A Survey of Text Summarization Techniques -- A Survey of Text Clustering Algorithms -- Dimensionality Reduction and Topic Modeling -- A Survey of Text Classification Algorithms -- Transfer Learning for Text Mining -- Probabilistic Models for Text Mining -- Mining Text Streams -- Translingual Mining from Text Data -- Text Mining in Multimedia -- Text Analytics in Social Media -- A Survey of Opinion Mining and Sentiment Analysis -- Biomedical Text Mining: A Survey of Recent Progress -- Index.
Text mining applications have experienced tremendous advances because of web 2.0 and social networking applications. Recent advances in hardware and software technology have lead to a number of unique scenarios where text mining algorithms are learned. Mining Text Data introduces an important niche in the text analytics field, and is an edited volume contributed by leading international researchers and practitioners focused on social networks & data mining. This book contains a wide swath in topics across social networks & data mining. Each chapter contains a comprehensive survey including the key research content on the topic, and the future directions of research in the field. There is a special focus on Text Embedded with Heterogeneous and Multimedia Data which makes the mining process much more challenging. A number of methods have been designed such as transfer learning and cross-lingual mining for such cases. Mining Text Data simplifies the content, so that advanced-level students, practitioners and res

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