Opinion mining and lexical affect sensing

Alexander Osherenko

ISBN 10: 383812488X / ISBN 13: 9783838124889

Verlag: Südwestdeutscher Verlag Für Hochschulschriften AG Co. KG Jun 2015, 2015

Beschreibung

This item is printed on demand - it takes 3-4 days longer - 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. 276 pp. Englisch.

Bestandsnummer des Verkäufers 9783838124889

Bibliografische Details

• Titel: Opinion mining and lexical affect sensing
• Verlag: Südwestdeutscher Verlag Für Hochschulschriften AG Co. KG Jun 2015
• Erscheinungsjahr: 2015
• Sprache: Englisch
• ISBN-10: 383812488X
• ISBN-13: 9783838124889
• Einband: Taschenbuch
• Zustand: Neu
• Abmessungen: 220B x 150 H x 18 T Millimeter Breite: 220 mm, Höhe: 150 mm, Tiefe: 18 mm
• Gewicht: 429 Gramm

Über diesen Titel

Inhaltsangabe

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.

Über die Autorin bzw. den Autor

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.