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Issue No.03 - May-June (2013 vol.28)
pp: 38-45
Veronica Perez Rosas , University of North Texas
Rada Mihalcea , University of Michigan
Louis-Philippe Morency , University of Southern California
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.
INDEX TERMS
Spanish, Visualization, Feature extraction, Intelligent systems, Pragmatics, Natural language processing, Text analysis, Computational linguistics, Sentiment analysis,multimodal natural language processing, Spanish, Visualization, Feature extraction, Intelligent systems, Pragmatics, Natural language processing, Text analysis, Computational linguistics, Sentiment analysis, intelligent systems, sentiment analysis
CITATION
Veronica Perez Rosas, Rada Mihalcea, Louis-Philippe Morency, "Multimodal Sentiment Analysis of Spanish Online Videos", IEEE Intelligent Systems, vol.28, no. 3, pp. 38-45, May-June 2013, doi:10.1109/MIS.2013.9
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