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text-classification-model

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AnthonyGedeon04 / Amazon-Review-Sentiment-Analysis

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Three-class sentiment analysis (satisfied, neutral, not satisfied) on 53k Amazon Echo Dot reviews with a heavy 81/8/11 class imbalance. Compares 7 TF-IDF classical models and 5 fine-tuned transformers (BERT, RoBERTa, DeBERTa and more). Best model: DeBERTa-v3 with 0.752 macro-F1 and 88.7% accuracy. Includes a Flask web app for live predictions.

python nlp sentiment-analysis scikit-learn flask-application sentimental-analysis html-css-javascript nlp-machine-learning sentiment-classification scikitlearn-machine-learning amazon-review-scraper scikit-learn-python nlp-deep-learning scikitlearn text-classificaiton deberta amazon-reviews-sentiment-analysis text-classificaiton-with-bert deberta-v3 text-classification-model
  • Updated Oct 1, 2026
  • Jupyter Notebook

mabroorahmad1 / Fine-Grained-Aspect-Based-Sentiment-Analysis_NLP

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Two-stage ABSA pipeline in PyTorch & Transformers: extracts product attributes (ATE) and classifies aspect polarities (ASC) using BERT on Women's Clothing and SemEval benchmarks.

python nlp machine-learning ecommerce deep-learning sentiment-analysis text-classification transformers pytorch semeval nlp-machine-learning bert sequence-labeling absa aspect-based-sentiment-analysis text-classification-python huggingface bert-fine-tuning token-classification text-classification-model
  • Updated Sep 8, 2026
  • Jupyter Notebook

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