Analyzing and predicting sentiment of images on the social web

@inproceedings{Siersdorfer2010AnalyzingAP,
  title={Analyzing and predicting sentiment of images on the social web},
  author={Stefan Siersdorfer and Enrico Minack and Fan Deng and Jonathon S. Hare},
  booktitle={ACM Multimedia},
  year={2010}
}
In this paper we study the connection between sentiment of images expressed in metadata and their visual content in the social photo sharing environment Flickr. To this end, we consider the bag-of-visual words representation as well as the color distribution of images, and make use of the SentiWordNet thesaurus to extract numerical values for their sentiment from accompanying textual metadata. We then perform a discriminative feature analysis based on information theoretic methods, and apply… CONTINUE READING
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Scalable Recognition with a Vocabulary Tree

2006 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR'06) • 2006
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