An enhanced binary bat and Markov clustering algorithms to improve event detection for heterogeneous news text documents
Event Detection (ED) works on identifying events from various types of data. Building an ED model for news text documents greatly helps decision-makers in various disciplines in improving their strategies. However, identifying and summarizing events from such data is a non-trivial task due to the la...
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| Format: | Thesis |
| Language: | eng eng |
| Published: |
2022
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| Subjects: | |
| Online Access: | https://etd.uum.edu.my/10228/1/s901775_01.pdf https://etd.uum.edu.my/10228/2/s901775_02.pdf |
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