| Presentation | 2012-12-13 Classifying Twitter Users for Spatio-temporal Entity Retrieval Liang YAN, Qiang MA, Masatoshi YOSHIKAWA, |
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| PDF Download Page |  PDF download Page Link |
| Abstract(in Japanese) | (See Japanese page) |
| Abstract(in English) | Spatio-temporal entity retrieval is a task for searching the entities with certain time and certain place, such as some commodities or events, from Twitter and Facebook, the social network with mass real-time update information. On Twitter, there are some users who tweet to the unspecified large number of other users, such as shops or local governments etc, while some other users who almost tweets to their friends. In this paper, we call the former as open account, while the latter as closed account. The expression in tweets and credibility of the two type of users can be different. For example, sometimes, an open account said "there are still some stock in the shop" about a commodity, while a closed account said "I didn't get it". In order to improve the accuracy of spatio-temporal ER, it is necessary to classify Twitter users. In this paper, we propose the method to classify Twitter users into open accounts and closed accounts. We use both the feature of user profile, such as address or telephone number etc. and the followers distribution. If the followers distribution is scattered, we treat it open account, while closed account otherwise. |
| Keyword(in Japanese) | (See Japanese page) |
| Keyword(in English) | Open account / Closed account / Followers Network |
| Paper # | DE2012-30 |
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| Conference Information | |
| Committee | DE |
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| Conference Date | 2012/12/5(1days) |
| Place (in Japanese) | (See Japanese page) |
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| Topics (in Japanese) | (See Japanese page) |
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| Paper Information | |
| Registration To | Data Engineering (DE) |
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| Language | ENG |
| Title (in Japanese) | (See Japanese page) |
| Sub Title (in Japanese) | (See Japanese page) |
| Title (in English) | Classifying Twitter Users for Spatio-temporal Entity Retrieval |
| Sub Title (in English) | |
| Keyword(1) | Open account |
| Keyword(2) | Closed account |
| Keyword(3) | Followers Network |
| 1st Author's Name | Liang YAN |
| 1st Author's Affiliation | Depatment of Social Informatics, Graduate School of Informatics, Kyoto University() |
| 2nd Author's Name | Qiang MA |
| 2nd Author's Affiliation | Depatment of Social Informatics, Graduate School of Informatics, Kyoto University |
| 3rd Author's Name | Masatoshi YOSHIKAWA |
| 3rd Author's Affiliation | Depatment of Social Informatics, Graduate School of Informatics, Kyoto University |
| Date | 2012-12-13 |
| Paper # | DE2012-30 |
| Volume (vol) | vol.112 |
| Number (no) | 346 |
| Page | pp.pp.- |
| #Pages | 6 |
| Date of Issue | |