Abstract
A prototype digital library of social media content was developed to present a summarized view of public opinion in a visual interface. The domain of the study was movie reviews of multiple genres harvested from weblogs, discussion boards, user and critic review Web sites, and Twitter. The system performs fine-grained analysis to determine both the sentiment orientation and sentiment strength of the reviewer towards various aspects of a movie, such as overall opinion, director, cast, story, scene, and music. Various visual interface components were developed to present an overview of public opinion on multiple aspects of each movie, and a usability evaluation was conducted to observe their effectiveness. Aspect-based sentiment summarization interface has the highest score for usefulness while a sentiment link analysis graph visualizing how positive and negative sentiment terms are associated with review aspects has the highest score for overall rating.
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Na, JC., Thet, T.T., Khoo, C.S.G., Kyaing, W.Y.M. (2011). Visual Sentiment Summarization of Movie Reviews. In: Xing, C., Crestani, F., Rauber, A. (eds) Digital Libraries: For Cultural Heritage, Knowledge Dissemination, and Future Creation. ICADL 2011. Lecture Notes in Computer Science, vol 7008. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-24826-9_34
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DOI: https://doi.org/10.1007/978-3-642-24826-9_34
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