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008 | 150903s2012 ne | o |||| 0|eng d | ||
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_a9789400750708 _99789400750708 |
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024 | 7 |
_a10.1007/9789400750708 _2doi |
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035 | _avtls000367449 | ||
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_a201509030715 _bVLOAD _c201405070442 _dVLOAD _y201402251622 _zstaff |
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_aMX-SnUAN _bspa _cMX-SnUAN _erda |
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050 | 4 | _aR-RZ | |
100 | 1 |
_aCambria, Erik. _eautor _9355569 |
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245 | 1 | 0 |
_aSentic Computing : _bTechniques, Tools, and Applications / _cby Erik Cambria, Amir Hussain. |
264 | 1 |
_aDordrecht : _bSpringer Netherlands : _bImprint: Springer, _c2012. |
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300 |
_axviii, 153 páginas 39 ilustraciones, 35 ilustraciones en color. _brecurso en línea. |
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336 |
_atexto _btxt _2rdacontent |
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_acomputadora _bc _2rdamedia |
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_arecurso en línea _bcr _2rdacarrier |
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_aarchivo de texto _bPDF _2rda |
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_aSpringerBriefs in Cognitive Computation, _x2212-6023 ; _v2 |
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500 | _aSpringer eBooks | ||
520 | _aIn 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. | ||
590 | _aPara consulta fuera de la UANL se requiere clave de acceso remoto. | ||
700 | 1 |
_aHussain, Amir. _eautor _9303305 |
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710 | 2 |
_aSpringerLink (Servicio en línea) _9299170 |
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776 | 0 | 8 |
_iEdición impresa: _z9789400750692 |
856 | 4 | 0 |
_uhttp://remoto.dgb.uanl.mx/login?url=http://dx.doi.org/10.1007/978-94-007-5070-8 _zConectar a Springer E-Books (Para consulta externa se requiere previa autentificación en Biblioteca Digital UANL) |
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