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fine-tune-bert-tensorflow

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alessiococchieri / toxic-comment-classification

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This repo contains code for toxic comment classification using deep learning models based on recurrent neural networks and transformers like BERT. The goal is to detect and classify toxic comments in online conversations using Jigsaw's Toxic Comment Classification dataset.

text-classification recurrent-neural-networks bert multilabel-classification lstm-neural-network toxic-comment-classification toxicity-classification fine-tune-bert-tensorflow
  • Updated Mar 30, 2023
  • Jupyter Notebook

SayamAlt / Financial-News-Sentiment-Analysis

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Successfully developed a fine-tuned DistilBERT transformer model which can accurately predict the overall sentiment of a piece of financial news up to an accuracy of nearly 81.5%.

natural-language-processing sentiment-analysis multiclass-classification text-preprocessing text-tokenization distilbert-model hugging-face-transformers fine-tune-bert-tensorflow model-inference model-architecture-and-implementation model-training-and-evaluation data-exploration-and-preprocessing
  • Updated May 6, 2024
  • Jupyter Notebook

SayamAlt / Symptoms-Disease-Text-Classification

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Successfully developed a fine-tuned BERT transformer model which can accurately classify symptoms to their corresponding diseases upto an accuracy of 89%.

natural-language-processing text-classification exploratory-data-analysis multiclass-classification text-preprocessing text-tokenization bert-fine-tuning hugging-face-transformers fine-tune-bert-tensorflow model-inference model-architecture-and-implementation model-training-and-evaluation data-exploration-and-preprocessing
  • Updated May 6, 2024
  • Jupyter Notebook

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