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Status:
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Status:
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- Pick a feasible dataset and method to start with: kannada dataset, tagging sentiment for movie reviews.
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- Worked on an horseheard implementation.
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- Studied several papers
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- Picked a feasible dataset and method to start with: kannada dataset, tagging sentiment for movie reviews.
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- Worked on a paper.
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- Studied several papers,
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- started to work on a streamlit demo
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- started to work on a streamlit demo
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Open tasks:
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Open tasks:
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- Focus on making a baseline experiment for sentiment classification using classical methods, such as Transformers. PLEASE DO NO AVOID !!!!
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- Prepare a survey paper for school journal or a conference. Use and correct the draft form the beginning. PLEASE DO NO AVOID !!!!
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- Try to prepare an experiment with the selected dataset. https://git.kemt.fei.tuke.sk/mg240ia/Hate_Speech_IMAYFLY_and_HORSEHERD
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- Try to prepare an experiment with the selected dataset. https://git.kemt.fei.tuke.sk/mg240ia/Hate_Speech_IMAYFLY_and_HORSEHERD
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- Focus on making a baseline experiment for sentiment classification using classical methods, such as Transformers.
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- For preparing a web application with demo, learn about streamlit. In progress: https://git.kemt.fei.tuke.sk/mg240ia/Hate-Speech-Detector-Streamlit
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- For preparing a web application with demo, learn about streamlit. In progress: https://git.kemt.fei.tuke.sk/mg240ia/Hate-Speech-Detector-Streamlit
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Read Papers :
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Read Papers :
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