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Mining text data / Charu C. Aggarwal, ChengXiang Zhai editors.

Contributor(s): Aggarwal, Charu C [autor] | Zhai, ChengXiang [editor].
Material type: materialTypeLabelBookCopyright date: New York : Springer, 2012Edition: First Edition.Description: xi, 522 pages : illustrations ; 23 cm.ISBN: 9781461432227.Subject(s): Text mining | Extracción de textos | Social media | Redes socialesDDC classification: 006.312 Online resources: Publisher description | Table of contents only
Partial contents:
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: From Latent Semantic Indexing to Latent Dirichlet Allocation and Beyond -- 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.
Abstract: 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.
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Item type Current location Call number Copy number Status Date due Item holds
Libro académico Libro académico Biblioteca del Campus
006.312 M6652 2012 (Browse shelf) Ej. 1 Available
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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: From Latent Semantic Indexing to Latent Dirichlet Allocation and Beyond -- 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.

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.

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