| Presentation | 2017-02-10 An investigation of tweets which users submit when they use music player apps Kenji Yasuda, Yasuhiko Watanabe, |
|---|---|
| PDF Download Page |  PDF download Page Link |
| Abstract(in Japanese) | (See Japanese page) |
| Abstract(in English) | These days, many people use several kinds of services and apps that are linked to social networking service (SNS). In this study, we investigated tweets which users submit when they use music player apps. We collected 2,000 tweets which users submitted when they used music player apps and found about 65% of them were tweets where impressions were described, 15 % of them were tweets where reasons why users play music contents were described, and 10 % of them were tweets where actions were described while they play music contents. We applied SVM machine learning techniques to detect tweets where two kinds of actions, moving to somewhere or going to bed, were described. The precision rates of tweets where two kinds of actions, moving to somewhere and going to bed, were described were 91% and 98%, respectively. On the other hand, the precision rates of them were described were 48% and 79%, respectively. |
| Keyword(in Japanese) | (See Japanese page) |
| Keyword(in English) | music player apps / music content / multitask / Twitter / SNS |
| Paper # | NLC2016-50 |
| Date of Issue | 2017-02-02 (NLC) |
| Conference Information | |
| Committee | NLC / IPSJ-IFAT |
|---|---|
| Conference Date | 2017/2/9(2days) |
| Place (in Japanese) | (See Japanese page) |
| Place (in English) | |
| Topics (in Japanese) | (See Japanese page) |
| Topics (in English) | |
| 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 / Special Interest Group on Information Fundamentals and Access Technologies |
|---|---|
| Language | JPN-ONLY |
| Title (in Japanese) | (See Japanese page) |
| Sub Title (in Japanese) | (See Japanese page) |
| Title (in English) | An investigation of tweets which users submit when they use music player apps |
| Sub Title (in English) | |
| Keyword(1) | music player apps |
| Keyword(2) | music content |
| Keyword(3) | multitask |
| Keyword(4) | |
| Keyword(5) | SNS |
| 1st Author's Name | Kenji Yasuda |
| 1st Author's Affiliation | Ryukoku University(Ryukoku Univ.) |
| 2nd Author's Name | Yasuhiko Watanabe |
| 2nd Author's Affiliation | Ryukoku University(Ryukoku Univ.) |
| Date | 2017-02-10 |
| Paper # | NLC2016-50 |
| Volume (vol) | vol.116 |
| Number (no) | NLC-451 |
| Page | pp.pp.75-80(NLC), |
| #Pages | 6 |
| Date of Issue | 2017-02-02 (NLC) |