Abstract
Due to the recent popularization of smartphones, it has become easy to get connected on Social Network Service (SNS) which caused the proliferation on the amount of tweets on Twitter. Many studies have been proposed to discover valuable meanings from Twitter text messages by using opinion mining. However, these researches have a side effect that it is only focused on positive and negative in the limited category. In this paper, we will attempt to examine which factors could affect the users interests or preferences by analyzing and comparing smartphone product reviews which were posted on Twitter, in multilateral categories, by using opinion mining.
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© 2014 Springer International Publishing Switzerland
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Kim, J., Choi, D., Hwang, M., Kim, P. (2014). Analysis on Smartphone Related Twitter Reviews by Using Opinion Mining Techniques. In: Sobecki, J., Boonjing, V., Chittayasothorn, S. (eds) Advanced Approaches to Intelligent Information and Database Systems. Studies in Computational Intelligence, vol 551. Springer, Cham. https://doi.org/10.1007/978-3-319-05503-9_20
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DOI: https://doi.org/10.1007/978-3-319-05503-9_20
Publisher Name: Springer, Cham
Print ISBN: 978-3-319-05502-2
Online ISBN: 978-3-319-05503-9
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