Title :
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
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;
Journal_Title :
Intelligent Systems, IEEE
