Doragd/Text-Classification-PyTorch
Implementation of papers for text classification task on SST-1/SST-2
This project helps you automatically categorize short pieces of text, like social media posts or customer reviews, into sentiment categories (positive, negative, or neutral). It takes raw text as input and outputs a classification of its sentiment. It's designed for data scientists or NLP researchers who need to quickly experiment with different text classification models.
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Use this if you are a data scientist or NLP researcher looking to apply and compare established deep learning models for sentiment analysis or other text classification tasks on your own datasets.
Not ideal if you're a non-technical user seeking a ready-to-use application for text classification without needing to write code or configure models.
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Language
Python
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Last pushed
Jul 25, 2024
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