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 14.7:
 
+Status:
+
 - 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. 
 - 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 
-- For preparing a web application with demo, learn about streamlit. https://git.kemt.fei.tuke.sk/mg240ia/Hate-Speech-Detector-Streamlit 
  
 Open tasks:
 
 - 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 :