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Multimedia Systems

Erschienen in:

01.07.2016 | Special Issue Paper

A cross-media public sentiment analysis system for microblog

verfasst von: Donglin Cao, Rongrong Ji, Dazhen Lin, Shaozi Li

Erschienen in: Multimedia Systems | Ausgabe 4/2016

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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.

Vorheriger Artikel An incremental probabilistic model for temporal theme analysis of landmarks

Nächster Artikel Question microblog identification and answer recommendation

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Titel: A cross-media public sentiment analysis system for microblog
verfasst von: Donglin Cao
Rongrong Ji
Dazhen Lin
Shaozi Li
Publikationsdatum: 01.07.2016
Verlag: Springer Berlin Heidelberg
Erschienen in: Multimedia Systems / Ausgabe 4/2016
Print ISSN: 0942-4962
Elektronische ISSN: 1432-1882
DOI: https://doi.org/10.1007/s00530-014-0407-8

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