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Committee Date Time Place Paper Title / Authors Abstract Paper #
IN 2020-01-23
14:40		 Aichi WINC AICHI e-Travel: Automatical Travel Support Site Generation based on Review Analysis per Travel Style
Naoki Kawamura, Komei Arasawa, Shun Hattori (Muroran Inst. of Tech.) IN2019-67		 For traveling and sightseeing, many people often use travel review sites and travel information magazines. Some travel r... [more] IN2019-67
pp.13-18
TL 2019-09-29
14:05		 Hokkaido National Institute of Technology, Hakodate College Investigation of Positional Relations on Distributed Representation of Words Contributing to Contrast Word Identification
Yuki Okumura (OECU), Sachio Hirokawa (Kyushu Univ), Kazuhiro Takeuchi (OECU) TL2019-38		 n recent years, distributed representations that represent words in a multidimensional real vector space have been widel... [more] TL2019-38
pp.5-9
TL 2018-06-17
18:00		 Hyogo Kobe Gakuin University （Port Island Campus） Effect of specifying the number of word occurrence in identification of specific text description
Yuki Okumura, Atsushi Moriyasu (OECU), Sachio Hirokawa (Kyusyu Univ.), Kazuhiro Takeuchi (OECU) TL2018-10		 Occurrence information of specific words is known as useful features for text classification.
In this paper, we conside... [more]		 TL2018-10
pp.53-56
ICM, LOIS 2016-01-22
11:10		 Fukuoka Fukuoka Institute of Technology A Study of Predicting Rating Score from a Movie Review Text
Akihiro Yoshinaga, Naoki Mizutani (Okayama Univ. of Science) ICM2015-38 LOIS2015-60		 We tried some methods for predicting rating score from a review text posted in a movie review website. For this predicti... [more] ICM2015-38 LOIS2015-60
pp.69-74
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