Issue No. 03 - May-June (2013 vol. 28)
DOI Bookmark: http://doi.ieeecomputersociety.org/10.1109/MIS.2013.9
Veronica Perez Rosas , University of North Texas
Rada Mihalcea , University of Michigan
Louis-Philippe Morency , University of Southern California
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.
Spanish, Visualization, Feature extraction, Intelligent systems, Pragmatics, Natural language processing, Text analysis, Computational linguistics, Sentiment analysis
V. Perez Rosas, R. Mihalcea and L. Morency, "Multimodal Sentiment Analysis of Spanish Online Videos," in IEEE Intelligent Systems, vol. 28, no. 3, pp. 38-45, 2013.