# Social Media Text Processing

A multilingual text classification model based on the xlm-roberta-large architecture, specifically designed for minor topic coding in the Comparative Agendas Project.

Transformer model based on Distilbert architecture, specializing in Brazilian Portuguese sentiment analysis

CryptoBERT is a pre-trained natural language processing model specifically designed for analyzing sentiment and language in cryptocurrency-related social media posts.

A tweet style transfer model trained based on the paper 'Reformulating Unsupervised Style Transfer as Paraphrase Generation' by Krishna K. et al., capable of converting text into paraphrased versions with specific styles (e.g., tweet style).

A sentiment analysis model trained based on the BETO Spanish BERT model, supporting POS/NEG/NEU three-class sentiment classification

Russian conversational model trained on OpenSubtitles, Dirty, Pikabu, and Taiga corpus social media sections

A tool for sentiment and emotion classification in Italian, supporting four basic emotions: anger, fear, happiness, and sadness

A sentiment analysis model fine-tuned based on the CAMeLBERT mixed model, supporting Arabic text sentiment classification