Publication2023
A Voting Enabled Predictive Approach for Hate Speech Detection
The record
- Type
- Publication
- Date
- 1 January 2023
- Level
- National
- Journal
- Proceedings of International Conference on Contemporary Computing and Informatics Ic3i 2023
- Pages
- 450-454
- Published
- 1 January 2023
- DOI
- 10.1109/ic3i59117.2023.10397912
- Scopus ID
- 85187246432
- Authors
- 4
- Open access
- No
- Citations
- 4
- International co-authorship
- No
- Co-author countries
- IN
Classification
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UN Sustainable Development Goals
16 Promote peaceful and inclusive societies for sustainable development, provide access to justice for all and build effective, accountable and inclusive institutions at all levels
Machine learning models for hate speech detection achieve best performance with Random Forest reducing online harassment and protecting citizen safety.
- High confidence
- The subject matter is a strong and direct inference from the record type, the funding or organising body, or the programme context, even where the title alone is thin. Example: an ICMR-funded project against SDG 3, on the strength of the agency.
- Judged
- Judged against the published classification rubric, under the rubric and prompt versions recorded with the run that produced it.
- Produced by
- claude-haiku-4-5-20251001, under kortex-publication-v1
Viksit Bharat @2047
vb-4.4 Public safety, cybersecurity and national security
Automated hate speech detection technology protects public safety and supports cybersecurity infrastructure.
- Produced by
- claude-haiku-4-5-20251001, under kortex-publication-v1
Each label above carries the instrument and the version that produced it. How each classification is reached.
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- 1
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Citing this record
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KIIT Deemed to be University. “A Voting Enabled Predictive Approach for Hate Speech Detection”. Kortex.