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Theory and Applications for Advanced Text Mining
DOAB Contributor

Theory and Applications for Advanced Text Mining

Author / Organization:
Open Access Books Published 2021 Verification Pending

Overview & Synopsis

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.

Indexed from repository: Directory of Open Access Books (www.doabooks.org)
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Document Information

Document Title Theory and Applications for Advanced Text Mining
Author / Organization DOAB Contributor
Subject & Discipline Machine learning
Categories Open Access Books
Publication Year 2021
License / Rights Open Access / Creative Commons
Resource Verification Listed PDF (Verification Pending)
Original Host Website Directory of Open Access Books (www.doabooks.org)
File Format application/pdf (Portable Document Format)
Language EN
Catalog ID DOC-97897
Original Source Link Visit Source Page on www.doabooks.org »