Hope Speech detection in under-resourced Kannada language
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Abstract (arXiv)
Numerous methods have been developed to monitor the spread of negativity in modern years by eliminating vulgar, offensive, and fierce comments from social media platforms. However, there are relatively lesser amounts of study that converges on embracing positivity, reinforcing supportive and reassuring content in online forums. Consequently, we propose creating an English-Kannada Hope speech dataset, KanHope and comparing several experiments to benchmark the dataset. The dataset consists of 6,176 user-generated comments in code mixed Kannada scraped from YouTube and manually annotated as bearing hope speech or Not-hope speech. In addition, we introduce DC-BERT4HOPE, a dual-channel model that uses the English translation of KanHope for additional training to promote hope speech detection. The approach achieves a weighted F1-score of 0.756, bettering other models. Henceforth, KanHope aims to instigate research in Kannada while broadly promoting researchers to take a pragmatic approach towards online content that encourages, positive, and supportive.
Key facts. Cited by 7 papers in the map (data through 7 Oct 2026). Builds on 24 of its 87 references that are in the map. First posted on arXiv 10 Aug 2021.
Builds on
24 of 87 references.
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12 more
- 2020A Sentiment Analysis Dataset for Code-Mixed Malayalam-Englishcited by 50
- 2020Indic-Transformers: An Analysis of Transformer Language Models for Indian Languagescited by 22
- 2019Hope Speech Detection: A Computational Analysis of the Voice of Peacecited by 15
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- 2021NLP-CUET@LT-EDI-EACL2021: Multilingual Code-Mixed Hope Speech Detection using Cross-lingual Representation Learnercited by 7
- 2021IIITT@LT-EDI-EACL2021-Hope Speech Detection: There is always Hope in Transformerscited by 6
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Citing papers per year: 2021: 4; 2022: 0; 2023: 0; 2024: 0; 2025: 2; 2026: 1.
7 papers.
- 2021Offensive Language Identification in Low-resourced Code-mixed Dravidian languages using Pseudo-labelingcited by 6
- 2025Beyond Monolingual Assumptions: A Survey of Code-Switched NLP in the Era of Large Language Models across Modalitiescited by 4
- 2021IIITT@Dravidian-CodeMix-FIRE2021: Transliterate or translate? Sentiment analysis of code-mixed text in Dravidian languagescited by 1
- 2025Hope Speech Detection in code-mixed Roman Urdu tweets: A Positive Turn in Natural Language Processingcited by 1
- 2021Findings of the Sentiment Analysis of Dravidian Languages in Code-Mixed Textcited by 0
- 2021Pegasus@Dravidian-CodeMix-HASOC2021: Analyzing Social Media Content for Detection of Offensive Textcited by 0
- 2026FineWeb-CLaR: Culture, Language, and Region Annotations for Benchmark-Aligned Corpus Auditingcited by 0
- 2026FineWeb-CLaR: Culture, Language, and Region Annotations for Benchmark-Aligned Corpus Auditing21 Sep 2026
- 2025Beyond Monolingual Assumptions: A Survey of Code-Switched NLP in the Era of Large Language Models across Modalities8 Oct 2025
- 2025Hope Speech Detection in code-mixed Roman Urdu tweets: A Positive Turn in Natural Language Processing17 Jun 2025
- 2021Pegasus@Dravidian-CodeMix-HASOC2021: Analyzing Social Media Content for Detection of Offensive Text18 Nov 2021
- 2021Findings of the Sentiment Analysis of Dravidian Languages in Code-Mixed Text18 Nov 2021
- 2021IIITT@Dravidian-CodeMix-FIRE2021: Transliterate or translate? Sentiment analysis of code-mixed text in Dravidian languages15 Nov 2021
- 2021Offensive Language Identification in Low-resourced Code-mixed Dravidian languages using Pseudo-labeling27 Aug 2021