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Abusive - Tamil - Text - Ipynb - Colab by Mirudhula Sankar is a document available to read on EtoBox.

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The document outlines a machine learning pipeline for classifying text as abusive or non-abusive using a dataset. It employs techniques such as TF-IDF vectorization, SVM classification, and a hybrid model combining TF-IDF and BERT embeddings. The final results indicate a macro F1 score of approximately 0.7934 for the hybrid model, demonstrating effective classification performance.

Author

Mirudhula Sankar

Language

EN