Thumbs up or thumbs down?: semantic orientation applied to unsupervised classification of reviews
ACL '02 Proceedings of the 40th Annual Meeting on Association for Computational Linguistics
Thumbs up?: sentiment classification using machine learning techniques
EMNLP '02 Proceedings of the ACL-02 conference on Empirical methods in natural language processing - Volume 10
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In recent years, people came to write the opinion of them by social networking service, such as a twitter, mixi, a blog. However, it is the present conditions that we cannot analyze it though we can watch a lot of opinions. Answer to choice is important, but opinion in a free writing conveys a thought concretely. From it, the authors considered using text mining in the spot. By doing text mining, it can enumerate frequent appearance word and we can know user's needs. The width of the analysis thereby spreads. For example, those who say a specific word find out in what kind of tendency it is. The authors can think about the product development that we matched with each user from there. In addition, it can compare the opinion by various approaches. In this way, Text mining is an effective way to take advantage of user's voice.