# Three-class Classification Model

A text classification model fine-tuned based on DistilBERT for analyzing sentiment tendencies in Amazon cosmetics product reviews

This model is a fine-tuned text classification model based on the MistralAI 7B architecture, specifically designed for analyzing sentiment tendencies regarding nuclear energy topics on the Twitter/X platform, achieving a classification accuracy of 94%.

A sentiment analysis model based on BETO (Spanish version of BERT), supporting sentiment classification for Spanish text.

FinBERT is a BERT model pre-trained on financial communication texts, specializing in the field of financial natural language processing. finbert-tone is its fine-tuned version for financial sentiment analysis tasks.