Publication2025
Detecting Hate Speech in Bangla: A Hybrid Model Using Machine Learning and Lexicon-Based Strategies
The record
- Type
- Publication
- Date
- 1 January 2025
- Level
- National
- Journal
- Ceur Workshop Proceedings
- Volume
- 4054
- Pages
- 522-528
- Published
- 1 January 2025
- Scopus ID
- 105019045033
- ISSN
- 16130073
- Authors
- 4
- Open access
- No
- Citations
- 0
- International co-authorship
- No
- Co-author countries
- IN
Classification
Every label below carries the reasoning it was assigned on, the confidence band it was assigned in, and what produced it. The rubric is published.
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
Hybrid machine learning and lexicon-based model for hate speech detection in Bangla and code-mixed Hindi-English addresses abusive online content moderation in regional languages.
- 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-4.5 Legal reform, justice and citizen rights
Online content moderation research demonstrates legal reform and digital governance in citizen rights protection.
- 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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Provenance
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- Source rows resolved into this record
- 1
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Citing this record
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KIIT Deemed to be University. “Detecting Hate Speech in Bangla: A Hybrid Model Using Machine Learning and Lexicon-Based Strategies”. Kortex.