Valentina Presutti; Milan Stankovic; Erik Cambria; Iván Cantador; Angelo Di Iorio; Tommaso Di Noia; Christoph Lange; Refo Springer International Publishing AG (2014) Saatavuus: Tilaustuote Pehmeäkantinen kirja
Jiuwen Cao; Erik Cambria; Amaury Lendasse; Yoan Miche; Chi Man Vong Springer International Publishing AG (2017) Saatavuus: Tilaustuote Kovakantinen kirja
Jiuwen Cao (ed.); Kezhi Mao (ed.); Erik Cambria (ed.); Zhihong Man (ed.); Kar-Ann Toh (ed.) Springer (2016) Saatavuus: Tilaustuote Pehmeäkantinen kirja
Jiuwen Cao (ed.); Kezhi Mao (ed.); Erik Cambria (ed.); Zhihong Man (ed.); Kar-Ann Toh (ed.) Springer (2016) Saatavuus: Tilaustuote Pehmeäkantinen kirja
Jiuwen Cao (ed.); Erik Cambria (ed.); Amaury Lendasse (ed.); Yoan Miche (ed.); Chi Man Vong (ed.) Springer (2018) Saatavuus: Tilaustuote Pehmeäkantinen kirja
Springer Sivumäärä: 153 sivua Asu: Pehmeäkantinen kirja Painos: 2012 Julkaisuvuosi: 2012, 28.07.2012 (lisätietoa) Kieli: Englanti
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.
