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. © 2013 Springer-Verlag Berlin Heidelberg.
CITATION STYLE
Takahashi, Y., & Asahi, Y. (2013). User needs search using text mining. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 8018 LNCS, pp. 607–615). https://doi.org/10.1007/978-3-642-39226-9_66
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