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- [Resources and benchmark corpora for hate speech detection: a systematic review]
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(https://link.springer.com/article/10.1007/s10579-020-09502-8)
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14.7:
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Installed VPN - Done
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Setup School GITHUB - Done
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Set up a repository for experiments, use the school git server git.kemt.fei.tuke.sk. - Done
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Pick a feasible dataset and method to start with. - Done
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Try to prepare an experiment with the selected dataset. - Done
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Summarize the results in the table and publish the table on git. . - Done
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Finish experiments, upload source codes into git, and describe the experiments. . - Done
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For preparing a web application with demo, learn about streamlit. . - Done
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Publish experiments into the repository. . - Done
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Todo:
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Focus on making a baseline experiment for sentiment classification using classical methods, such as Transformers.
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Papers :
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- https://aclanthology.org/2020.peoples-1.6.pdf
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- https://aclanthology.org/2022.ltedi-1.14/
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- https://arxiv.org/abs/2108.03867
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- https://arxiv.org/pdf/2112.15417v4.pdf
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- https://arxiv.org/ftp/arxiv/papers/2202/2202.04725.pdf
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- https://github.com/manikandan-ravikiran/DOSA/blob/main/EACL_Final_Paper.pdf
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- https://aclanthology.org/2020.icon-main.13.pdf
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- http://ceur-ws.org/Vol-3159/T6-4.pdf
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- https://www.researchgate.net/publication/353819476_Hope_Speech_detection_in_under-resourced_Kannada_language
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- https://www.researchgate.net/publication/346964457_Creation_of_Corpus_and_analysis_in_Code-Mixed_Kannada-English_Twitter_data_for_Emotion_Prediction
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- https://www.semanticscholar.org/paper/Detecting-stance-in-kannada-social-media-code-mixed-SrinidhiSkanda-Kumar/f651d67211809f2036ac81c27e55d02bd061ed64
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- https://www.academia.edu/81920734/Findings_of_the_Sentiment_Analysis_of_Dravidian_Languages_in_Code_Mixed_Text
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- https://competitions.codalab.org/competitions/30642#learn_the_details
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- https://paperswithcode.com/paper/creation-of-corpus-and-analysis-in-code-mixed
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- https://paperswithcode.com/paper/hope-speech-detection-in-under-resourced#code
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## Meeting 13.6.
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- Implemented a Mayfly and Horse Heard Algorithms in Python and Matlab for HS datasets.
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