mlsanityData to 7 Oct 2026

Hope Speech detection in under-resourced Kannada language

arXiv 2108.04616 ↗First posted 10 Aug 2021cs.CLcited by 7

Not on the map. Why?

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.

References · 24

  1. 2017Attention Is All You Needcited by 59,932
  2. 2018BERT: Pre-training of Deep Bidirectional Transformers for Language Understandingcited by 40,204
  3. 2014Adam: A Method for Stochastic Optimizationcited by 36,960
  4. 2019RoBERTa: A Robustly Optimized BERT Pretraining Approachcited by 13,266
  5. 2019How multilingual is Multilingual BERT?cited by 642
  6. 2019Bias in Bios: A Case Study of Semantic Representation Bias in a High-Stakes Settingcited by 346
  7. 2019Mitigating Gender Bias in Natural Language Processing: Literature Reviewcited by 287
  8. 2019Racial Bias in Hate Speech and Abusive Language Detection Datasetscited by 208
  9. 2017Deep Learning for Hate Speech Detection in Tweetscited by 180
  10. 2019Getting Gender Right in Neural Machine Translationcited by 98
  11. 2017Depression and Self-Harm Risk Assessment in Online Forumscited by 81
  12. 2020Corpus Creation for Sentiment Analysis in Code-Mixed Tamil-English Textcited by 67
12 more
  1. 2020A Sentiment Analysis Dataset for Code-Mixed Malayalam-Englishcited by 50
  2. 2020Indic-Transformers: An Analysis of Transformer Language Models for Indian Languagescited by 22
  3. 2019Hope Speech Detection: A Computational Analysis of the Voice of Peacecited by 15
  4. 2019Voice for the Voiceless: Active Sampling to Detect Comments Supporting the Rohingyascited by 8
  5. 2021NLP-CUET@LT-EDI-EACL2021: Multilingual Code-Mixed Hope Speech Detection using Cross-lingual Representation Learnercited by 7
  6. 2021IIITT@LT-EDI-EACL2021-Hope Speech Detection: There is always Hope in Transformerscited by 6
  7. 2020Harnessing Code Switching to Transcend the Linguistic Barriercited by 4
  8. 2021Gender Bias, Social Bias and Representation: 70 Years of BHollywoodcited by 4
  9. 2021Empathy and Hope: Resource Transfer to Model Inter-country Social Media Dynamicscited by 4
  10. 2020Social Media Attributions in the Context of Water Crisiscited by 3
  11. 2019Affective Behaviour Analysis of On-line User Interactions: Are On-line Support Groups more Therapeutic than Twitter?cited by 2
  12. 2021Exploring Polarization of Users Behavior on Twitter During the 2019 South American Protestscited by 1

Built on by

Cited by year (2026 to 7 Oct)

Citing papers per year: 2021: 4; 2022: 0; 2023: 0; 2024: 0; 2025: 2; 2026: 1.

7 papers.