Sentic computing: techniques, tools, and applications
Erik Cambria, Amir Hussain ([Springer, ], 2012)
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In this book common sense computing techniques are further developed and applied to bridge the semantic gap between word-level natural language data and the concept-level opinions conveyed by these. In particular, the ensemble application of graph mining and multi-dimensionality reduction techniques is exploited on two common sense knowledge bases to develop a novel intelligent engine for open-domain opinion mining and sentiment analysis. The proposed approach, termed sentic computing, performs a clause-level semantic analysis of text, which allows the inference of both the conceptual and emotional information associated with natural language opinions and, hence, a more efficient passage from (unstructured) textual information to (structured) machine-processable data. |
Sentic Computing Techniques, Tools, and Applications, Erik Cambria, Amir Hussain 2012.pdf :: Unduh
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No. Panggil : | e20410716 |
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Penerbitan : | Dordrecht: [Springer, ], 2012 |
Sumber Pengatalogan: | LibUI eng rda |
Tipe Konten: | text |
Tipe Media: | computer |
Tipe Pembawa: | online resource |
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Tautan: | http://link.springer.com/book/10.1007%2F978-94-007-5070-8 |
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No. Panggil | No. Barkod | Ketersediaan |
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e20410716 | TERSEDIA |
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