| Presentation | 2019-06-21 Examination of Trend Extraction Method Focusing on Twitter Emotional polarity Yuka Takei, Taro Miyazaki, Jun Goto, |
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| PDF Download Page |  PDF download Page Link |
| Abstract(in Japanese) | (See Japanese page) |
| Abstract(in English) | Acquiring information about trend topics from social media can be useful for broadcasters to make TV program. In order to find trend Tweets and topics efficiently, broadcasters refer to the number of reactions such as “Retweet”. However, Tweets that have a large number of reactions are frequently posted about popular games and campaigns of enterprises. These Tweets are unnecessary to make programs. In this paper, we present a trend extraction method that focus on emotional polarity of Tweet as well as the number of reactions. Because emotional reactions on SNS reflect the occurring of real-world events and should be important for event detection. As a result of evaluation based on information shared in the broadcasting station, we confirm our method that focus on changes in the proportion of emotional polarity can extract Tweet that useful for broadcasters. |
| Keyword(in Japanese) | (See Japanese page) |
| Keyword(in English) | Twitter / Sentiment Analysis / Natural Language Processing / Trend Detection |
| Paper # | NLC2019-4 |
| Date of Issue | 2019-06-14 (NLC) |
| Conference Information | |
| Committee | NLC / IPSJ-ICS |
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| Conference Date | 2019/6/21(2days) |
| Place (in Japanese) | (See Japanese page) |
| Place (in English) | Hiroshima University of Economics (Tatemachi Campus) |
| 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 |
| Title (in Japanese) | (See Japanese page) |
| Sub Title (in Japanese) | (See Japanese page) |
| Title (in English) | Examination of Trend Extraction Method Focusing on Twitter Emotional polarity |
| Sub Title (in English) | |
| Keyword(1) | |
| Keyword(2) | Sentiment Analysis |
| Keyword(3) | Natural Language Processing |
| Keyword(4) | Trend Detection |
| 1st Author's Name | Yuka Takei |
| 1st Author's Affiliation | NHK Science & Technology Research Laboratories(NHK) |
| 2nd Author's Name | Taro Miyazaki |
| 2nd Author's Affiliation | NHK Science & Technology Research Laboratories(NHK) |
| 3rd Author's Name | Jun Goto |
| 3rd Author's Affiliation | NHK Science & Technology Research Laboratories(NHK) |
| Date | 2019-06-21 |
| Paper # | NLC2019-4 |
| Volume (vol) | vol.119 |
| Number (no) | NLC-98 |
| Page | pp.pp.23-28(NLC), |
| #Pages | 6 |
| Date of Issue | 2019-06-14 (NLC) |