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An Empirical Study on Optimal Correlation between Market Share and Concerns on Companies Measured through Search Engine Suggests.

, , , , , and . AINA Workshops, page 214-219. IEEE Computer Society, (2016)

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Analyzing Concerns on Companies through Statistics of Search Engine Suggests and its Correlation to Market Share., , , , , and . IMCOM, page 51:1-51:8. ACM, (2016)Analyzing Time Series Changes of Correlation between Market Share and Concerns on Companies measured through Search Engine Suggests., , , , , , , and . LREC, European Language Resources Association (ELRA), (2016)Overviewing the Knowledge of a Query Keyword by Clustering Viewpoints of Web Search Information Needs., , , , , and . AINA Workshops, page 535-540. IEEE Computer Society, (2015)Selecting Web Search Results of Diverse Contents with Search Engine Suggests and a Topic Model., , , , , and . AINA Workshops, page 455-460. IEEE Computer Society, (2016)An Empirical Study on Optimal Correlation between Market Share and Concerns on Companies Measured through Search Engine Suggests., , , , , and . AINA Workshops, page 214-219. IEEE Computer Society, (2016)Detecting Bursty Topics of Correlated News and Twitter for Government Services., , , , and . Social Media for Government Services, Springer, (2015)Comparative Topic Analysis of Japanese and Chinese Bloggers., , , , , , , and . AINA Workshops, page 664-669. IEEE Computer Society, (2014)Clustering Search Engine Suggests by Modeling Topics of Web Pages collected with Suggests., , , , , and . IMCOM, page 50:1-50:7. ACM, (2016)