- 228 pages
- English
- PDF
- Available on iOS & Android
eBook - PDF
Theory and Applications for Advanced Text Mining
About this book
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. This book is composed of 9 chapters introducing advanced text mining techniques. They are various techniques from relation extraction to under or less resourced language. I believe that this book will give new knowledge in the text mining field and help many readers open their new research fields.
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Please note we cannot support devices running on iOS 13 and Android 7 or earlier. Learn more about using the app.
Yes, you can access Theory and Applications for Advanced Text Mining by Shigeaki Sakurai in PDF and/or ePUB format, as well as other popular books in Computer Science & Artificial Intelligence (AI) & Semantics. We have over one million books available in our catalogue for you to explore.
Information
Table of contents
- Theory and Applications for Advanced Text Mining
- Contents
- Preface
- Chapter 1 Survey on Kernel-Based Relation Extraction
- Chapter 2 Analysis for Finding Innovative Concepts Based on Temporal Patterns of Terms in Documents
- Chapter 3 Text Clumping for Technical Intelligence
- Chapter 4 A Semantic-Based Framework for Summarization and Page Segmentation in Web Mining
- Chapter 5 Ontology Learning Using Word Net Lexical Expansion and Text Mining
- Chapter 6 Automatic Compilation of Travel Information from Texts: A Survey
- Chapter 7 Analyses on Text Data Related to the Safety of Drug Use Based on Text Mining Techniques
- Chapter 8 Biomedical Named Entity Recognition: A Survey of Machine-Learning Tools
- Chapter 9 Toward Computational Processing of Less Resourced Languages: Primarily Experiments for Moroccan Amazigh Language