This dissertation describes an interdisciplinary study that considers linguistic and psychological findings to perform computer-aided categorization of opinions and emotions in texts. It discusses various emotional corpora (movie reviews, weblogs, product reviews, and natural-language dialogues) and describes different approaches to affect classification of their texts: a statistical approach that utilizes lexical, deictic, stylometric, and grammatical information; a semantic approach that relies on emotional dictionaries and on deep grammatical analysis; a hybrid approach that combines the statistical approach and the semantic approach. Furthermore, this thesis explores affect sensing using multimodal fusion that utilizes lexical and acoustic data. In conclusion, the thesis discusses significant contributions and describes future work.
Die Inhaltsangabe kann sich auf eine andere Ausgabe dieses Titels beziehen.
Alexander Osherenko graduated from University of Applied Sciences, Hamburg with the B.Sc. degree in computer science. He obtained his M. Sc. degree in computer science from Humboldt University, Berlin and the PhD degree from University of Augsburg, Germany.
„Über diesen Titel“ kann sich auf eine andere Ausgabe dieses Titels beziehen.
EUR 70,00 für den Versand von Deutschland nach USA
Versandziele, Kosten & DauerAnbieter: preigu, Osnabrück, Deutschland
Taschenbuch. Zustand: Neu. Opinion mining and lexical affect sensing | Computer-aided analysis of opinions and emotions in texts | Alexander Osherenko | Taschenbuch | Paperback | 276 S. | Englisch | 2015 | Südwestdeutscher Verlag für Hochschulschriften AG Co. KG | EAN 9783838124889 | Verantwortliche Person für die EU: BoD - Books on Demand, In de Tarpen 42, 22848 Norderstedt, info[at]bod[dot]de | Anbieter: preigu. Artikel-Nr. 107052364
Anzahl: 5 verfügbar
Anbieter: buchversandmimpf2000, Emtmannsberg, BAYE, Deutschland
Taschenbuch. Zustand: Neu. Neuware -This dissertation describes an interdisciplinary study that considers linguistic and psychological findings to perform computer-aided categorization of opinions and emotions in texts. It discusses various emotional corpora (movie reviews, weblogs, product reviews, and natural-language dialogues) and describes different approaches to affect classification of their texts: a statistical approach that utilizes lexical, deictic, stylometric, and grammatical information; a semantic approach that relies on emotional dictionaries and on deep grammatical analysis; a hybrid approach that combines the statistical approach and the semantic approach. Furthermore, this thesis explores affect sensing using multimodal fusion that utilizes lexical and acoustic data. In conclusion, the thesis discusses significant contributions and describes future work.Books on Demand GmbH, Überseering 33, 22297 Hamburg 276 pp. Englisch. Artikel-Nr. 9783838124889
Anzahl: 2 verfügbar