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14.7: 14.7:
Status:
- Try to prepare an experiment with the selected dataset. https://git.kemt.fei.tuke.sk/mg240ia/Hate_Speech_IMAYFLY_and_HORSEHERD - Try to prepare an experiment with the selected dataset. https://git.kemt.fei.tuke.sk/mg240ia/Hate_Speech_IMAYFLY_and_HORSEHERD
- Pick a feasible dataset and method to start with: kannada dataset, tagging sentiment for movie reviews. - Pick a feasible dataset and method to start with: kannada dataset, tagging sentiment for movie reviews.
- Finish experiments, upload source codes into git, and describe the experiments. . - Done - Finish experiments, upload source codes into git, and describe the experiments. . - Done
- Summarize the results in the table and publish the table on git. . - Done - Summarize the results in the table and publish the table on git. . - Done
- For preparing a web application with demo, learn about streamlit. https://git.kemt.fei.tuke.sk/mg240ia/Hate-Speech-Detector-Streamlit
Open tasks: Open tasks:
- Focus on making a baseline experiment for sentiment classification using classical methods, such as Transformers. - Focus on making a baseline experiment for sentiment classification using classical methods, such as Transformers.
- For preparing a web application with demo, learn about streamlit. In progress: https://git.kemt.fei.tuke.sk/mg240ia/Hate-Speech-Detector-Streamlit
Read Papers : Read Papers :