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Text Mining and its Applications

Overview of attention for book
Cover of 'Text Mining and its Applications'

Table of Contents

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    Book Overview
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    Chapter 1 Mining for Gems of Information
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    Chapter 2 From Text to Knowledge: Document Processing and Visualization: a Text Mining Approach
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    Chapter 3 Web Mining: Past, Present and Future
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    Chapter 4 Applications, Sectors and Strategies of Text Mining, a First Overall Picture
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    Chapter 5 Text Classification of News Articles with Support Vector Machines
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    Chapter 6 A Review of Web Document Clustering Approaches
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    Chapter 7 Supervised Term Weighting for Automated Text Categorization
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    Chapter 8 Machine Learning for Information Extraction in Genomics — State of the Art and Perspectives
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    Chapter 9 Processing Multilingual Collections for Text Mining Applications
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    Chapter 10 Text Mining Tools: Evaluation Methods and Criteria
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    Chapter 11 Knowledge Advantage through online Text Mining. Research Trends in Competitive Intelligence and Virtual Communities Applications
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    Chapter 12 Real Time Customer Opinion Monitoring
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    Chapter 13 Validation Techniques in Text Mining (with Application to the Processing of Open-ended Questions)
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    Chapter 14 Clickstream Analysis, Semiotic Interpretation and Semantic Text Mining for a Distance Measurement on the Hypertextual Map of an Internet-portal
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    Chapter 15 Text Mining in Official Statistics
Attention for Chapter 9: Processing Multilingual Collections for Text Mining Applications
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Citations

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Chapter title
Processing Multilingual Collections for Text Mining Applications
Chapter number 9
Book title
Text Mining and its Applications
Published by
Springer, Berlin, Heidelberg, January 2004
DOI 10.1007/978-3-540-45219-5_9
Book ISBNs
978-3-64-205780-9, 978-3-54-045219-5
Authors

Eric Gaussier

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 1 Mendeley reader of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 1 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 1 100%
Researcher 1 100%
Readers by discipline Count As %
Linguistics 1 100%
Decision Sciences 1 100%

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