Theory and Applications for Advanced Text Mining.rar
"Theory and Applications for Advanced Text Mining" ed. by Shigeaki Sakurai
InTeOp | 2012 | ISBN: 9535108528 9789535108528 | 226 pages | PDF | 12 MB
This book is composed of chapters introducing advanced text mining techniques. They are various techniques from relation extraction to under or less resourced language. The book will give new knowledge in the text mining field and help many readers open their new research fields.
Due to the growth of computer technologies and web technologies, we can easily collect and store large amounts of text data. We can believe that the data include useful knowledge.
Text mining techniques have been studied aggressively in order to extract the knowledge from the data since late 1990s. Even if many important techniques have been developed, the text mining research field continues to expand for the needs arising from various application fields.
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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