Abstract | ||
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We present an automated, real-time tweet selection system for TV news programs. The system collects tweets related to a TV news program and chooses an appropriate tweet every 10 seconds for display. The selection procedure consists of two steps: assessing the importance of each tweet, and assessing the difference between the tweet and previously selected tweets. The previously selected tweets are taken into consideration for the purpose of maintaining the diversity of the entire set of selected tweets. We conducted experiments with a real TV news program and showed that the system developed in this study can select appropriate tweets. |
Year | DOI | Venue |
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2017 | 10.1145/3106426.3106515 | WI |
Keywords | DocType | ISBN |
Social Media, Microblogging, Summarization | Conference | 978-1-4503-4951-2 |
Citations | PageRank | References |
0 | 0.34 | 2 |
Authors | ||
4 |
Name | Order | Citations | PageRank |
---|---|---|---|
Soichiro Hirota | 1 | 0 | 0.34 |
Ryohei Sasano | 2 | 117 | 15.48 |
Hiroya Takamura | 3 | 529 | 64.23 |
Manabu Okumura | 4 | 830 | 114.41 |