| Presentation | 2018-07-07 Yelpレビュー情報における潜在的トピックを用いた類似・競合店舗の特定 Masayuki Irie, Hajime Sasaki, Ichiro Sakata, |
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| PDF Download Page |  PDF download Page Link |
| Abstract(in Japanese) | (See Japanese page) |
| Abstract(in English) | When evaluating restaurants, people consider various aspects. For example, they include taste, quality of service, atmosphere, price. Only showing a unified score makes it difficult to recognize which aspects of restaurants are assessed. The purpose of this research is to identify resembling and competing restaurants by comparing latent topics discovered from reviews by useing Latent Dirichlet Allocation (LDA) algorithm, and recommend similar ones to restaurant management - the users of the system. In this study the review data in Yelp Dataset, which is an open dataset that Yelp.com provides, is analyzed to find latent subtopics. The restaurants which have the same topics are regarded as competitors. In addition, focusing on other features, such as review score, encourages the discovery of more similarities and differences. This paper will be useful to assist restaurants in improving their service. |
| Keyword(in Japanese) | (See Japanese page) |
| Keyword(in English) | Yelp / review / aspect / competitor / reccomendation / LDA / service improvement |
| Paper # | NLC2018-8 |
| Date of Issue | 2018-06-29 (NLC) |
| Conference Information | |
| Committee | NLC / IPSJ-ICS |
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| Conference Date | 2018/7/6(2days) |
| Place (in Japanese) | (See Japanese page) |
| Place (in English) | Hokkaido University |
| Topics (in Japanese) | (See Japanese page) |
| Topics (in English) | Application of natural language processing and intelligent systems, and general topic of NLP |
| Chair | Takeshi Sakaki(Hottolink) |
| Vice Chair | Mitsuo Yoshida(Toyohashi Univ. of Tech.) / Kazutaka Shimada(Kyushu Inst. of Tech.) |
| Secretary | Mitsuo Yoshida(Ryukoku Univ.) / Kazutaka Shimada(NTT) |
| Assistant | Takeshi Kobayakawa(NHK) / Hiroki Sakaji(Univ. of Tokyo) |
| Paper Information | |
| Registration To | Technical Committee on Natural Language Understanding and Models of Communication / Special Interest Group on Intelligence and Complex Systems |
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| Language | JPN-ONLY |
| Title (in Japanese) | (See Japanese page) |
| Sub Title (in Japanese) | (See Japanese page) |
| Title (in English) | |
| Sub Title (in English) | |
| Keyword(1) | Yelp |
| Keyword(2) | review |
| Keyword(3) | aspect |
| Keyword(4) | competitor |
| Keyword(5) | reccomendation |
| Keyword(6) | LDA |
| Keyword(7) | service improvement |
| 1st Author's Name | Masayuki Irie |
| 1st Author's Affiliation | The University of Tokyo(UTokyo) |
| 2nd Author's Name | Hajime Sasaki |
| 2nd Author's Affiliation | The University of Tokyo(UTokyo) |
| 3rd Author's Name | Ichiro Sakata |
| 3rd Author's Affiliation | The University of Tokyo(UTokyo) |
| Date | 2018-07-07 |
| Paper # | NLC2018-8 |
| Volume (vol) | vol.118 |
| Number (no) | NLC-122 |
| Page | pp.pp.75-80(NLC), |
| #Pages | 6 |
| Date of Issue | 2018-06-29 (NLC) |