| Download | - View final version: EuroGames16: evaluating change detection in online conversation (PDF, 446 KiB)
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| Author | Search for: Goutte, Cyril1; Search for: Wang, Yunli1; Search for: Liao, Fangming1; Search for: Zanussi, Zachary1; Search for: Larkin, Samuel1; Search for: Grinberg, Yuri1 |
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| Affiliation | - National Research Council of Canada. Digital Technologies
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| Format | Text, Article |
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| Conference | 11th International Conference on Language Resources and Evaluation, LREC 2018, May 7-12, 2018, Miyazaki, Japan |
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| Subject | social media; change detection; online conversation |
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| Abstract | We introduce the challenging task of detecting changes from an online conversation. Our goal is to detect significant changes in, for example, sentiment or topic in a stream of messages that are part of an ongoing conversation. Our approach relies on first applying linguistic preprocessing or collecting simple statistics on the messages in the conversation in order to build a time series. Change point detection algorithms are then applied to identify the location of significant changes in the distribution of the underlying time series. We present a collection of sport events on which we can evaluate the performance of our change detection method. Our experiments, using several change point detection algorithms and several types of time series, show that it is possible to detect salient changes in an on-line conversation with relatively high accuracy. |
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| Publication date | 2019 |
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| Publisher | European Language Resources Association (ELRA) |
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| In | |
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| Language | English |
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| Peer reviewed | Yes |
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| Export citation | Export as RIS |
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| Report a correction | Report a correction (opens in a new tab) |
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| Record identifier | 34086a11-8c16-4f73-a7af-9c74d2fa888d |
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| Record created | 2019-05-21 |
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| Record modified | 2022-02-21 |
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