Cricket world cup 2015 : predicting user’s orientation through mix tweets on twitter platform
The existing literature has explored various latent attributes of Twitter users. It is worth noting that user classification research in the context of gender or the political domain is mostly binary in nature such as male-female or Republican-Democrat. Conversely, in multi-team contexts user classi...
| Main Authors: | , |
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| Other Authors: | |
| Format: | Conference Paper |
| Language: | English |
| Published: |
2020
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| Subjects: | |
| Online Access: | https://hdl.handle.net/10356/139023 |
| _version_ | 1811691622028541952 |
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| author | Khatua, Apalak Khatua, Aparup |
| author2 | 2017 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining |
| author_facet | 2017 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining Khatua, Apalak Khatua, Aparup |
| author_sort | Khatua, Apalak |
| collection | NTU |
| description | The existing literature has explored various latent attributes of Twitter users. It is worth noting that user classification research in the context of gender or the political domain is mostly binary in nature such as male-female or Republican-Democrat. Conversely, in multi-team contexts user classification is a not a binary task. Also, prior studies have mostly ignored tweets which mention more than one orientation (i.e. both Republican and Democrat-related keywords) within a tweet. We consider these tweets as mix tweets. We investigate the relationship between user classification (in a multi-team context) and user-level mix tweeting pattern. To test our proposed model, we have extracted 3.5 million tweets during the Cricket World Cup 2015 (CWC’15), in which 14 cricket-playing nations participated. We employed a logistic regression model, and our empirical evidence strongly confirms our hypothesis. |
| first_indexed | 2024-10-01T06:22:49Z |
| format | Conference Paper |
| id | ntu-10356/139023 |
| institution | Nanyang Technological University |
| language | English |
| last_indexed | 2024-10-01T06:22:49Z |
| publishDate | 2020 |
| record_format | dspace |
| spelling | ntu-10356/1390232020-05-15T01:01:05Z Cricket world cup 2015 : predicting user’s orientation through mix tweets on twitter platform Khatua, Apalak Khatua, Aparup 2017 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining Temasek Laboratories Library and information science::Libraries Sports Analytics Big Data The existing literature has explored various latent attributes of Twitter users. It is worth noting that user classification research in the context of gender or the political domain is mostly binary in nature such as male-female or Republican-Democrat. Conversely, in multi-team contexts user classification is a not a binary task. Also, prior studies have mostly ignored tweets which mention more than one orientation (i.e. both Republican and Democrat-related keywords) within a tweet. We consider these tweets as mix tweets. We investigate the relationship between user classification (in a multi-team context) and user-level mix tweeting pattern. To test our proposed model, we have extracted 3.5 million tweets during the Cricket World Cup 2015 (CWC’15), in which 14 cricket-playing nations participated. We employed a logistic regression model, and our empirical evidence strongly confirms our hypothesis. 2020-05-15T01:01:05Z 2020-05-15T01:01:05Z 2017 Conference Paper Khatua, A., & Khatua, A. (2017). Cricket world cup 2015 : predicting user’s orientation through mix tweets on twitter platform. Proceedings of the 2017 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining, 948-951. doi:10.1145/3110025.3119398 9781450349932 https://hdl.handle.net/10356/139023 10.1145/3110025.3119398 2-s2.0-85040237163 948 951 en © 2017 Association for Computing Machinery. All rights reserved. |
| spellingShingle | Library and information science::Libraries Sports Analytics Big Data Khatua, Apalak Khatua, Aparup Cricket world cup 2015 : predicting user’s orientation through mix tweets on twitter platform |
| title | Cricket world cup 2015 : predicting user’s orientation through mix tweets on twitter platform |
| title_full | Cricket world cup 2015 : predicting user’s orientation through mix tweets on twitter platform |
| title_fullStr | Cricket world cup 2015 : predicting user’s orientation through mix tweets on twitter platform |
| title_full_unstemmed | Cricket world cup 2015 : predicting user’s orientation through mix tweets on twitter platform |
| title_short | Cricket world cup 2015 : predicting user’s orientation through mix tweets on twitter platform |
| title_sort | cricket world cup 2015 predicting user s orientation through mix tweets on twitter platform |
| topic | Library and information science::Libraries Sports Analytics Big Data |
| url | https://hdl.handle.net/10356/139023 |
| work_keys_str_mv | AT khatuaapalak cricketworldcup2015predictingusersorientationthroughmixtweetsontwitterplatform AT khatuaaparup cricketworldcup2015predictingusersorientationthroughmixtweetsontwitterplatform |