| 講演抄録/キーワード |
| 講演名 |
2014-06-14 13:55
Reverse Engineering Twitter Hashtag Algorithm ○Marat Zhanikeev(Kyushu Inst. of Tech.) NLC2014-3 |
| 抄録 |
(和) |
Twitter today markets itself through neat infographics where it explains how its main features -- specifically, the hashtag -- should be used. The term used in most infographics is contributing value to conversation. Since no engineering logic is supplied along with the term, there is no way to know what it means in practice. This paper proposes a model that can be used to collect, process, and visualize the hashtag algorithm, relative to a user's own account. Software implementation is also provided. |
| (英) |
Twitter today markets itself through neat infographics where it explains how its main features -- specifically, the hashtag -- should be used. The term used in most infographics is contributing value to conversation. Since no engineering logic is supplied along with the term, there is no way to know what it means in practice. This paper proposes a model that can be used to collect, process, and visualize the hashtag algorithm, relative to a user's own account. Software implementation is also provided. |
| キーワード |
(和) |
twitter hashtag algorithm / reverse engineering / web crawling / statistical modeling / / / / |
| (英) |
twitter hashtag algorithm / reverse engineering / web crawling / statistical modeling / / / / |
| 文献情報 |
信学技報, vol. 114, no. 81, NLC2014-3, pp. 13-16, 2014年6月. |
| 資料番号 |
NLC2014-3 |
| 発行日 |
2014-06-07 (NLC) |
| ISSN |
Print edition: ISSN 0913-5685 Online edition: ISSN 2432-6380 |
著作権に ついて |
技術研究報告に掲載された論文の著作権は電子情報通信学会に帰属します.(許諾番号:10GA0019/12GB0052/13GB0056/17GB0034/18GB0034) |
| PDFダウンロード |
NLC2014-3 |