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A Framework for Sentiment Analysis on Smartphone Application Stores

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Title A Framework For Sentiment Analysis On Smartphone Application Stores
Authors

Jongheum Yeon, Dongjoo Lee, Jaehui Park, Sang-goo Lee

Date 2012-2
Keywords
Acknowledgement NRF
Publication Type International Conference
Publication Info Proceedings of the 1st International Conference on Advanced Information Technology and Sensor Application , Volume , Page
Conference Info The 1st International Conference on Advanced Information Technology and Sensor Application February 28-29, 2012 (Presentation on February 28, 2012) Daejeon, Korea
Publisher
SCIE
Other Information ISBN:
ISSN:
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Abstract (Korean)



Abstract (English)
This paper presents a framework for extracting customer opinions from review comments of smartphone application stores based on sentiment analysis. We focus on constructing a sentiment dictionary, generating opinion units from the review text, and further determining the sentiment polarity of each discovered opinion unit. We extract opinion units by traversing a syntactic tree which is built from the text. Also, we take into consideration context-dependent sentiment, which indicates different polarities with respect to different features. Overall, the framework consists of four major components: lexicon recommendation module, dictionary management module, opinion unit detection module, and sentiment polarity decision module. These modules are implemented as a self-contained software package.