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bert-model

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Space Model framework that allows for maintaining generalizability, and enhances the performance on the downstream task by utilizing task-specific context attribution. It is an external LLM layer, that improves accuracy in classification task for multiple datasets, such as HateXplain, IMDB movies reviews and more.

  • Updated Jul 22, 2024
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A web-based AI-powered Sentiment Analyzer that uses VADER, ROBERTa and BERT models to detect positive, negative, or neutral sentiment in text. Built with Flask and NLP tools, it's perfect for analyzing reviews, tweets, or user feedback. Lightweight, clean UI, and deployable on Render.

  • Updated Jul 3, 2025
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