Multimodal Sentiment Analysis of Spanish Online Videos

Author

Rosas, V.P. ; Mihalcea, R. ; Morency, Louis-Philippe

Author_Institution

Univ. of North Texas, Denton, TX, USA

Volume

28

Issue

3

fYear

2013

fDate

May-June 2013

Firstpage

38

Lastpage

45

Abstract

Using multimodal sentiment analysis, the presented method integrates linguistic, audio, and visual features to identify sentiment in online videos. In particular, experiments focus on a new dataset consisting of Spanish videos collected from YouTube that are annotated for sentiment polarity.

Keywords

cognition; emotion recognition; social networking (online); video signal processing; Spanish online video; automatic emotion identification; automatic opinion identification; branding; judgement identification; multimodal sentiment analysis; product analysis; sentiment polarity; Computational linguistics; Feature extraction; Intelligent systems; Natural language processing; Pragmatics; Sentiment analysis; Spanish; Text analysis; Visualization; Computational linguistics; Feature extraction; Intelligent systems; Natural language processing; Pragmatics; Sentiment analysis; Spanish; Text analysis; Visualization; intelligent systems; multimodal natural language processing; sentiment analysis;

fLanguage

English

Journal_Title

Intelligent Systems, IEEE

Publisher

ieee

ISSN

1541-1672

Type

jour

DOI

10.1109/MIS.2013.9

Filename

6419687