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A cross-media public sentiment analysis system for microblog

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Abstract

Since classical public sentiment analysis systems for microblog are based on the text sentiment analysis, it is difficult to determine the sentiment of short text without clear sentiment words in microblog posts. Fortunately, a lot of microblog posts contain images which also represent users’ sentiment. To fully understand users’ sentiment, we propose a cross-media public sentiment analysis system for microblog. The best advantage of this novel system is the unified cross-media public sentiment analysis framework which fuses the text sentiment and image sentiment not only from sentiment results, but also from sentiment ontology. To enhance presentation effects, this system presents sentiment results from macroscopic view and microscopic view which details the sentiment results in region, topic, microblog content and user diffusion. In our knowledge, this is the first unified cross-media public sentiment analysis system.

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Acknowledgments

This work is supported by the Nature Science Foundation of China (No. 61402386, No. 61305061, No. 61373076 and No. 61202143), the Natural Science Foundation of Fujian Province (No. 2011J01367, No. 2013J05100, and No. 2010J01345), the Key Projects Fund of Science and Technology in Xiamen (No. 3502Z20123017), the Fundamental Research Funds for the Central Universities (No. 2013121026 and No. 2011121052), the Research Fund for the Doctoral Program of Higher Education of China (No. 201101211120024), the Special Fund for Developing Shenzhen’s Strategic Emerging Industries (No. JCYJ20120614164600201), the Hunan Provincial Natural Science Foundation (12JJ2040), and the Hunan Province Research Foundation of Education Committee (09A046).

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Authors and Affiliations

  1. Department of Cognitive Science, Xiamen University, Xiamen, 361005, China

    Donglin Cao, Rongrong Ji, Dazhen Lin & Shaozi Li

  2. Fujian Key Laboratory of the Brain-like Intelligent Systems, Xiamen, 361005, China

    Donglin Cao, Rongrong Ji, Dazhen Lin & Shaozi Li

Authors
  1. Donglin Cao
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  2. Rongrong Ji
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  3. Dazhen Lin
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  4. Shaozi Li
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Correspondence to Rongrong Ji.

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Cao, D., Ji, R., Lin, D. et al. A cross-media public sentiment analysis system for microblog. Multimedia Systems 22, 479–486 (2016). https://doi.org/10.1007/s00530-014-0407-8

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