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TEKNOFEST_train.ipynb was used for fine tuning a turkish bert model. The goal is sentiment analysis for turkish text.

https://github.com/OnurSahh/Teknofest_NLP_Acikhack2023

        OUTPUT

Label / Offensive or not / Target

Label_0 = OFFENSIVE and INSULT

Label_1 = OFFENSIVE and RACIST

Label_2 = OFFENSIVE and SEXIST

Label_3 = OFFENSIVE and PROFANITY

Label_4 = NOT OFFENSIVE and OTHER

Label_5 = OFFENSIVE and OTHER

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Text Classification

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