Automatic Labelling of Malay Cyberbullying Twitter Corpus using Combinations of Sentiment, Emotion and Toxicity Polarities
Automatic labelling is essential in large corpuses. Engaging in human experts to label can be challenging. Semantic understanding can differ from one labeler to another based on individual's language ability. Platforms such as AmazonTurk are not able to ensure the quality of annotations in ever...
| Published in: | ACM International Conference Proceeding Series |
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| Main Author: | |
| Format: | Conference paper |
| Language: | English |
| Published: |
Association for Computing Machinery
2020
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| Online Access: | https://www.scopus.com/inward/record.uri?eid=2-s2.0-85102973769&doi=10.1145%2f3446132.3446412&partnerID=40&md5=5c668651d4c77ca8be2f2761336f508e |