An OCR text correction model fine-tuned based on google/byt5-base, specifically designed to correct text errors in OCR recognition and improve text accuracy and readability. The model is trained on the wikitext dataset, and synthetic OCR errors are added through the nlpaug library to enhance robustness.

Natural Language ProcessingTransformersEnglish

A model based on bert-base-uncased architecture, fine-tuned for punctuation restoration on the Yelp review dataset, capable of predicting punctuation and capitalization restoration for lowercase text.

Natural Language ProcessingTransformersEnglish

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

Natural Language ProcessingJaxEnglish

A punctuation restoration model fine-tuned based on the bert-base-uncased architecture, specifically designed for the Yelp review dataset, capable of predicting punctuation and case restoration for lowercase-only text.

Natural Language ProcessingTransformersEnglish

This is a text classification model based on the BERT-base-uncased architecture, fine-tuned on the Yelp review sentiment analysis dataset using the TextAttack framework. The model performs excellently in sentiment classification tasks, achieving an accuracy of 96.99% on the evaluation set.

Natural Language ProcessingTransformers

BERT model post-trained on Yelp restaurant review data, specializing in sentiment analysis and multi-dimensional understanding of e-commerce reviews

Natural Language ProcessingJax

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%.

Natural Language ProcessingTransformers