• Corpus ID: 236965782

Hope Speech detection in under-resourced Kannada language

  title={Hope Speech detection in under-resourced Kannada language},
  author={Adeep Hande and Ruba Priyadharshini and Anbukkarasi Sampath and Kingston Pal Thamburaj and Prabakaran Chandran and Bharathi Raja Chakravarthi},
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… 

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Overview of the Shared Task on Hope Speech Detection for Equality, Diversity, and Inclusion

An overview of the findings and results from the shared task on hope speech detection for Tamil, Malayalam, Kannada, English and Spanish languages conducted in the second workshop on Language Technology for Equality, Diversity and Inclusion organised as a part of ACL 2022 is reported.



Detection of Hate Speech Text in Hindi-English Code-mixed Data

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A Hope Speech dataset for Equality, Diversity and Inclusion (HopeEDI) containing user-generated comments from the social media platform YouTube with 28,451, 20,198 and 10,705 comments in English, Tamil and Malayalam, respectively, manually labelled as containing hope speech or not is constructed.

MC-BERT4HATE: Hate Speech Detection using Multi-channel BERT for Different Languages and Translations

  • Hajung SohnHyunju Lee
  • Computer Science
    2019 International Conference on Data Mining Workshops (ICDMW)
  • 2019
A multi-channel model with three versions of BERT (MC-BERT), the English, Chinese, and multilingual BERTs for hate speech detection and the usage of translations as additional input by translating training and test sentences to the corresponding languages required for different BERT models is proposed.

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