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dc.contributor.editorSakurai, Shigeaki
dc.date.accessioned2021-04-20T15:39:44Z
dc.date.available2021-04-20T15:39:44Z
dc.date.issued2012
dc.identifierONIX_20210420_9789535108528_1666
dc.identifier.urihttps://directory.doabooks.org/handle/20.500.12854/66308
dc.description.abstractDue 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.
dc.languageEnglish
dc.subject.classificationthema EDItEUR::U Computing and Information Technology::UY Computer science::UYQ Artificial intelligenceen_US
dc.subject.otherMachine learning
dc.titleTheory and Applications for Advanced Text Mining
dc.typebook
oapen.identifier.doi10.5772/3115
oapen.relation.isPublishedBy78a36484-2c0c-47cb-ad67-2b9f5cd4a8f6
oapen.relation.isbn9789535108528
oapen.relation.isbn9789535157007
oapen.imprintIntechOpen
oapen.pages228


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