# Three-class classification model

A sentiment analysis model based on DeepPavlov/rubert-base-cased-conversational architecture, trained on the RuSentiment dataset, capable of identifying neutral, positive, and negative emotions in Russian text.

A sentiment analysis model fine-tuned on approximately 600,000 Persian tweets for analyzing sentiment tendencies in Persian text.

English tweet sentiment analysis model based on BERTweet, trained on SemEval 2017 corpus, supports positive, negative, and neutral sentiment classification