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http://dx.doi.org/10.9717/kmms.2014.17.11.1286

Design of Big Data Preference Analysis System  

Son, Sung Il (Department of Computer & Information Engineering Graduate School, Cheongju University)
Park, Chan Khon (Department of Computer & Information Engineering Graduate School, Cheongju University)
Publication Information
Journal of Korea Multimedia Society / v.17, no.11, 2014 , pp. 1286-1295 More about this Journal
Abstract
This paper suggests the way that it could improve the reliability about preference of user's feedback by adding weighting factor on sentiment analysis, and efficiently make a sentiment analysis of users' emotional perspective on the big data massively generated on twitter. To solve errors on earlier studies, this paper has improved recall and precision of sensibility determination by using sensibility dictionary subdivided sentiment polarity based on the level of sensibility and given impotance to sensibility determination by populating slang, new words, emoticons and idiomatic expressions not in the system dictionary. It has considered the context through conjunctive adverbs fixed in korean characteristics which are free to the word order. It also recognize sensibility words such as TF(Term Frequency), RT(Retweet), Follower which are weighting factors of preference and has increased reliability of preference analysis considering weight on 'a very emotional tweet', 'a recognised tweet from users' and 'a tweeter influencer'
Keywords
Sentiment Analysis; Preference Analysis; Sentiment Dictionary;
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Times Cited By KSCI : 1  (Citation Analysis)
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