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Muttappanavar, Sachin (2022) CricSum: Cricket News Generation from Live Text Commentary using Abstractive Text Summarization Technique. Masters thesis, Dublin, National College of Ireland.
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Abstract
Cricket is one of the most played and popular games in the world. There are roughly 1 billion cricket enthusiasts worldwide. Most people rely on live text commentaries rather than watching live video streaming of the Cricket match. This resulted in the emergence of online websites providing live text commentaries. As a result, a massive amount of live text data relating to cricket was generated. There isn’t a lot of work done on summarising a cricket game using this live text of Cricket game. Therefore, we implemented a system to generate news from the live text commentaries of Cricket games. Data is collected from the ESPNCricinfo website. Stakeholders may use our proposed model for the automatic creation of news articles, which eliminates human effort and time spent drafting the report. We have trained different models over commentary data and the best model is selected based on the ROUGE score.
| Item Type: | Thesis (Masters) |
|---|---|
| Subjects: | Q Science > QA Mathematics > Electronic computers. Computer science T Technology > T Technology (General) > Information Technology > Electronic computers. Computer science G Geography. Anthropology. Recreation > GV Recreation Leisure > Sports |
| Divisions: | School of Computing > Master of Science in Data Analytics |
| Depositing User: | Tamara Malone |
| Date Deposited: | 23 Feb 2023 17:07 |
| Last Modified: | 23 Feb 2023 17:07 |
| URI: | https://norma.ncirl.ie/id/eprint/6239 |
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