| Presentation | 2016-06-05 A Comparative Analysis of Sizzle words for Automatic Extraction of "Palatability" Maki Morita, Eiji Aramaki, Akiyo Nadamoto, Mai Miyabe, |
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| PDF Download Page |  PDF download Page Link |
| Abstract(in Japanese) | (See Japanese page) |
| Abstract(in English) | Nowadays, the restaurant search services on the Internet become popular, people use them when they search the new restaurant. It is, however, difficult for users to find their desired restaurant by using existing restaurant search services. In this study, we propose new restaurant search system which searches for user's desired restaurant based on sizzle word such as ``MOCHI-MOCHI" and ``SAKU-SAKU". on the Twitter. In this paper, as a first step of the study, we examine the possibility of automatic classification of sizzle tweet for three types as ``taste-type", ``texture-type", and ``information-type" based on our sizzle words classifier system. From our examine, we defined (1)we can automatic classify tweets with sizzle words according to three types, (2)there are sizzle word pair which classify each other in a three types, and (3)we can classify ``taste-type" and ``texture-type" each other. |
| Keyword(in Japanese) | (See Japanese page) |
| Keyword(in English) | Sizzle related words / Microblog / Twitter / Automatic classification / Restaurant recommendation |
| Paper # | TL2016-11,NLC2016-11 |
| Date of Issue | 2016-05-28 (TL, NLC) |
| Conference Information | |
| Committee | NLC / TL |
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| Conference Date | 2016/6/4(2days) |
| Place (in Japanese) | (See Japanese page) |
| Place (in English) | Otaru University of Commerce |
| Topics (in Japanese) | (See Japanese page) |
| Topics (in English) | Application of natural language proessing and linguistic analysis, and general topic of NLP |
| Chair | Hiroshi Kanayama(IBM) / Masami Suzuki(KDDI R&D Labs.) |
| Vice Chair | Makoto Ichise(NTT DoCoMo) / Takeshi Sakaki(Univ. of Tokyo/Hottolink) / Chiaki Kubomura(Yamano College of Aesthetics) |
| Secretary | Makoto Ichise(Ryukoku Univ.) / Takeshi Sakaki(Kyushu Inst. of Tech.) / Chiaki Kubomura(Ehime Univ.) |
| Assistant | Ryuichiro Higashinaka(NTT) / Mitsuo Yoshida(Toyohashi Univ. of Tech.) / Yasushi Tsubota(Kyoto Univ.) / Nobuyuki Jincho(Waseda Univ.) |
| Paper Information | |
| Registration To | Technical Committee on Natural Language Understanding and Models of Communication / Technical Committee on Thought and Language |
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| Language | JPN |
| Title (in Japanese) | (See Japanese page) |
| Sub Title (in Japanese) | (See Japanese page) |
| Title (in English) | A Comparative Analysis of Sizzle words for Automatic Extraction of "Palatability" |
| Sub Title (in English) | |
| Keyword(1) | Sizzle related words |
| Keyword(2) | Microblog |
| Keyword(3) | |
| Keyword(4) | Automatic classification |
| Keyword(5) | Restaurant recommendation |
| 1st Author's Name | Maki Morita |
| 1st Author's Affiliation | Wakayama University(Wakayama Univ.) |
| 2nd Author's Name | Eiji Aramaki |
| 2nd Author's Affiliation | Nara Institute of Science and Technology(NAIST) |
| 3rd Author's Name | Akiyo Nadamoto |
| 3rd Author's Affiliation | Konan University(Konan Univ.) |
| 4th Author's Name | Mai Miyabe |
| 4th Author's Affiliation | Wakayama University(Wakayama Univ.) |
| Date | 2016-06-05 |
| Paper # | TL2016-11,NLC2016-11 |
| Volume (vol) | vol.116 |
| Number (no) | TL-77,NLC-78 |
| Page | pp.pp.53-58(TL), pp.53-58(NLC), |
| #Pages | 6 |
| Date of Issue | 2016-05-28 (TL, NLC) |