Visual sentiment summarization of movie reviews

Authors:
Jin-Cheon Na;Tun Thura Thet;Christopher S. G. Khoo;Wai Yan Min Kyaing
Affiliations:
Wee Kim Wee School of Communication and Information, Nanyang Technological University, Singapore;Wee Kim Wee School of Communication and Information, Nanyang Technological University, Singapore;Wee Kim Wee School of Communication and Information, Nanyang Technological University, Singapore;Wee Kim Wee School of Communication and Information, Nanyang Technological University, Singapore
Venue:
ICADL'11 Proceedings of the 13th international conference on Asia-pacific digital libraries: for cultural heritage, knowledge dissemination, and future creation
Year:
2011

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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.