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Main page » Non-Fiction » Self-Improvement » Theory and Applications for Advanced Text Mining


Theory and Applications for Advanced Text Mining

 

Contents
Preface
1 Survey on Kernel-Based Relation Extraction
2 Analysis for Finding Innovative Concepts Based on Temporal Patterns of Terms in Documents
3 Text Clumping for Technical Intelligence
4 A Semantic-Based Framework for Summarization and Page Segmentation in Web Mining
5 Ontology Learning using Word Net Lexical Expansion and Text Mining
6 Automatic Compilation of Travel Information from Texts: A Survey
7 Analyses on Text Data Related to the Safety of Drug Use Based on Text Mining Techniques
8 Biomedical Named Entity Recognition: A Survey of Machine-Learning Tools
9 Toward Computational Processing of Less Resourced Languages: Primarily Experiments for Moroccan



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Tags: Theory, techniques, Applications, Advanced, Mining, advanced