Aggression-annotated Corpus of Hindi-English Code-mixed Data
March 26, 2018 ยท Declared Dead ยท ๐ International Conference on Language Resources and Evaluation
"No code URL or promise found in abstract"
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Authors
Ritesh Kumar, Aishwarya N. Reganti, Akshit Bhatia, Tushar Maheshwari
arXiv ID
1803.09402
Category
cs.CL: Computation & Language
Citations
199
Venue
International Conference on Language Resources and Evaluation
Last Checked
3 months ago
Abstract
As the interaction over the web has increased, incidents of aggression and related events like trolling, cyberbullying, flaming, hate speech, etc. too have increased manifold across the globe. While most of these behaviour like bullying or hate speech have predated the Internet, the reach and extent of the Internet has given these an unprecedented power and influence to affect the lives of billions of people. So it is of utmost significance and importance that some preventive measures be taken to provide safeguard to the people using the web such that the web remains a viable medium of communication and connection, in general. In this paper, we discuss the development of an aggression tagset and an annotated corpus of Hindi-English code-mixed data from two of the most popular social networking and social media platforms in India, Twitter and Facebook. The corpus is annotated using a hierarchical tagset of 3 top-level tags and 10 level 2 tags. The final dataset contains approximately 18k tweets and 21k facebook comments and is being released for further research in the field.
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