| Presentation | 2016-09-08 Extraction of New Relevant Companies by Using Extracted Common Elements from Relevant Companies Sets Miryu Tanaka, Hiroyuki Sakai, Hiroki Sakaji, |
|---|---|
| PDF Download Page |  PDF download Page Link |
| Abstract(in Japanese) | (See Japanese page) |
| Abstract(in English) | In this paper, we propose a method that extracts new relevant companies by using common elements estimated from relevant company sets. For example, if relevant companies are “Canon”, “Epson” and “Brother Industries”, our method extracts “printer” and “multifunction printer” as common elements. Then, our method extracts “Ricoh” as a new relevant company by using these common elements. Our method estimates the common elements based on important words extracted from PDF files of the summary of financial statements of companies. Then, our method extracts new relevant companies by using the common elements. |
| Keyword(in Japanese) | (See Japanese page) |
| Keyword(in English) | Text mining / Common elements estimation / New relevant companies extraction |
| Paper # | NLC2016-16 |
| Date of Issue | 2016-09-01 (NLC) |
| Conference Information | |
| Committee | NLC |
|---|---|
| Conference Date | 2016/9/8(2days) |
| Place (in Japanese) | (See Japanese page) |
| Place (in English) | Convention Room AP Shibuya-Dogenzaka (Tokyo) |
| Topics (in Japanese) | (See Japanese page) |
| Topics (in English) | The Ninth Text Mining Symposium |
| Chair | Hiroshi Kanayama(IBM) |
| Vice Chair | Makoto Ichise(NTT DoCoMo) / Takeshi Sakaki(Univ. of Tokyo/Hottolink) |
| Secretary | Makoto Ichise(Ryukoku Univ.) / Takeshi Sakaki(Kyushu Inst. of Tech.) |
| Assistant | Ryuichiro Higashinaka(NTT) / Mitsuo Yoshida(Toyohashi Univ. of Tech.) |
| Paper Information | |
| Registration To | Technical Committee on Natural Language Understanding and Models of Communication |
|---|---|
| Language | JPN |
| Title (in Japanese) | (See Japanese page) |
| Sub Title (in Japanese) | (See Japanese page) |
| Title (in English) | Extraction of New Relevant Companies by Using Extracted Common Elements from Relevant Companies Sets |
| Sub Title (in English) | |
| Keyword(1) | Text mining |
| Keyword(2) | Common elements estimation |
| Keyword(3) | New relevant companies extraction |
| 1st Author's Name | Miryu Tanaka |
| 1st Author's Affiliation | Seikei University(Seikei Univ.) |
| 2nd Author's Name | Hiroyuki Sakai |
| 2nd Author's Affiliation | Seikei University(Seikei Univ.) |
| 3rd Author's Name | Hiroki Sakaji |
| 3rd Author's Affiliation | Seikei University(Seikei Univ.) |
| Date | 2016-09-08 |
| Paper # | NLC2016-16 |
| Volume (vol) | vol.116 |
| Number (no) | NLC-213 |
| Page | pp.pp.19-24(NLC), |
| #Pages | 6 |
| Date of Issue | 2016-09-01 (NLC) |