Research Article
Understanding Effect of Sentiment Content Toward Information Diffusion Pattern in Online Social Networks: A Case Study on TweetScope
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@INPROCEEDINGS{10.1007/978-3-319-05939-6_34, author={Duc Trung and Tri Nguyen and Jason Jung and Dongjin Choi}, title={Understanding Effect of Sentiment Content Toward Information Diffusion Pattern in Online Social Networks: A Case Study on TweetScope}, proceedings={Context-Aware Systems and Applications. Second International Conference, ICCASA 2013, Phu Quoc Island, Vietnam, November 25-26, 2013, Revised Selected Papers}, proceedings_a={ICCASA}, year={2014}, month={6}, keywords={Sentiment analysis Opinion mining Online social media Information diffusion}, doi={10.1007/978-3-319-05939-6_34} }- Duc Trung
Tri Nguyen
Jason Jung
Dongjin Choi
Year: 2014
Understanding Effect of Sentiment Content Toward Information Diffusion Pattern in Online Social Networks: A Case Study on TweetScope
ICCASA
Springer
DOI: 10.1007/978-3-319-05939-6_34
Abstract
Understanding customers’ opinion and subjectivity is regarded as an important task in various domains (e.g., marketing). Particularly, with many types of social media (e.g., Twitter and FaceBook), such opinions are propagated to other users and might make a significant influence on them. In this paper, we propose a method for understanding relationship between sentiment content corresponding with its diffusion degree in Online Social Networks. Thereby, a practical system, called , has been implemented to efficiently collect and analyze all possible tweets from customers.
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