Text Mining and its Applications Results of the NEMIS Launch Conference /
The world of text mining is simultaneously a minefield and a gold mine. Text Mining is a rapidly developing applications field and an area of scientific research, using techniques from well-established scientific fields such as data mining, machine learning, information retrieval, natural language p...
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| Format: | Electronic eBook |
| Language: | English |
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Berlin, Heidelberg :
Springer Berlin Heidelberg : Imprint: Springer,
2004.
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| Edition: | 1st ed. 2004. |
| Series: | Studies in Fuzziness and Soft Computing,
138 |
| Subjects: | |
| Online Access: | Full Text via HEAL-Link |
Table of Contents:
- Mining for Gems of Information
- From Text to Information: Document Processing and Visualization, a Text Mining Approach
- Web Mining: The Past, the Present, and Future
- Applications, Sectors and Strategies of Text Mining, a First Overall Picture
- Text Classification of News Articles with Support Vector Machines
- A Review of Web Document Clustering Approaches
- Supervised Term Weighting for Automated Text Categorization
- Machine Learning for Information Extraction in Genomics - State of the Art and Perspectives
- Processing Multilingual Collection for Text Mining Applications
- Text Mining Tools: Evaluation Methods and Criteria
- Knowledge Advantage through online Text Mining. Research Trends in Competitive Intelligence and Virtual Communities Applications
- Real Time Customer Opinion Monitoring
- Validation Techniques in Text Mining (with Application to the Processing of Open-ended Questions)
- Clickstream Analysis, Semiotic Interpretation and Semantic Text Mining for a Distance Measurement on the Hypertextual Map of an Internet-portal
- Text Mining in Official Statistic.
