# High-precision sentiment analysis

A mental health text classification model fine-tuned based on BERT-base-uncased, which can classify text into seven mental health categories.

A multi-category emotion classification model fine-tuned on ModernBERT-base, capable of recognizing 7 emotion labels

BERT-based sentiment analysis model fine-tuned on Twitter sentiment dataset for text emotion classification

This is a binary classification model trained with AutoNLP, specifically designed for sentiment analysis of English text.

This is a binary classification model trained via AutoNLP for IMDB review sentiment analysis

This model is a binary sentiment analysis model fine-tuned on the RoBERTa base version, specifically designed for sentiment polarity classification of Yelp reviews.

This model is a fine-tuned version of bert-base-uncased on the yelp_polarity dataset for text classification tasks, achieving an accuracy of 95.16%.

A text sentiment classification model fine-tuned on DeBERTa-v3, performing excellently on the emotion dataset.