| Presentation | 2014-06-14 Reverse Engineering Twitter Hashtag Algorithm Marat ZHANIKEEV, |
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| PDF Download Page |  PDF download Page Link |
| Abstract(in Japanese) | (See Japanese page) |
| Abstract(in English) | 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. |
| Keyword(in Japanese) | (See Japanese page) |
| Keyword(in English) | twitter hashtag algorithm / reverse-engineering / web crawling / statistical modeling |
| Paper # | NLC2014-3 |
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| Conference Information | |
| Committee | NLC |
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| Conference Date | 2014/6/7(1days) |
| Place (in Japanese) | (See Japanese page) |
| Place (in English) | |
| Topics (in Japanese) | (See Japanese page) |
| Topics (in English) | |
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| Paper Information | |
| Registration To | Natural Language Understanding and Models of Communication (NLC) |
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| Language | ENG |
| Title (in Japanese) | (See Japanese page) |
| Sub Title (in Japanese) | (See Japanese page) |
| Title (in English) | Reverse Engineering Twitter Hashtag Algorithm |
| Sub Title (in English) | |
| Keyword(1) | twitter hashtag algorithm |
| Keyword(2) | reverse-engineering |
| Keyword(3) | web crawling |
| Keyword(4) | statistical modeling |
| 1st Author's Name | Marat ZHANIKEEV |
| 1st Author's Affiliation | Computer Science and Systems Engineering Kyushu Institute of Technology() |
| Date | 2014-06-14 |
| Paper # | NLC2014-3 |
| Volume (vol) | vol.114 |
| Number (no) | 81 |
| Page | pp.pp.- |
| #Pages | 4 |
| Date of Issue | |