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Conference Papers (Available on Advance Programs) (Sort by: Date Descending)

Committee	Date Time	Place		Paper Title / Authors	Abstract	Paper #
NLC, IPSJ-DC	2018-09-06 17:20	Tokyo	Seikei University	Latent co-occurrence words graph extraction using sparse structure estimation -- Comparison of word vectors between topic model and distributed representation -- Norimitsu Kubono, Nozomi Hiyoshi, Daiju Akashi (PERSOL CAREER) NLC2018-19	We are considering application of "structural topic model" in order to extract customer insight from member questionnai... [more]	NLC2018-19 pp.51-56
NLC	2017-09-08 10:50	Tokyo	Seikei University	Applicability of Structural Topic Model to job search site VOC text analysis -- Feature selection with Bayesian Network Structure Learning -- Norimitsu Kubono, Nozomi Hiyoshi, Daiju Akashi (PERSOL CAREER) NLC2017-25	We describe the result of examination applying Structural Topic Model and Bayesian net structure learning complementaril... [more]	NLC2017-25 pp.53-58

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