Nemokamas pristatymas nuo 29€

  • check 10 + milijonai knygų
  • check Naujienos (kiekvieną dieną)
  • check 1 + mln. klientų mus pasitiki
  • check Geros kainos % Nuolaidos
  • check Nemokamas pristatymas nuo 29 eur

Sentic Computing: Techniques, Tools, and Applications - Amir Hussain,Erik Cambria

Anglų
2012-07-28
63,51 € 84,68 €

-25% su kodu BOOKS

Turime sandėlyje pas mūsų tiekėją

Pristatymas per 12-18 d.d.

30 dienų grąžinimo politika

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 opinio ... Visas aprašymas

Jums taip pat gali patikti

Aprašymas

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.

Daugiau informacijos

Autorius Amir Hussain, Erik Cambria
Leidėjas Springer Netherlands
Series SpringerBriefs in Cognitive Computation
Išleidimo metai 2012
Viršelio tipas Minkšti viršeliai
EAN 9789400750692
Parašykite savo atsiliepimą
Jūs peržiūrėjote: Sentic Computing: Techniques, Tools, and Applications
Jūsų įvertinimas:

Goodreads Atsiliepimai

63,51 € 84,68 €