# Social Media Sentiment Analysis

A pre-trained model based on the RoBERTa architecture, specifically designed for sentiment analysis tasks on Twitter text.

A multilabel sentiment classification model fine-tuned based on bert-base-uncased, capable of classifying English texts into 43 emotion categories

A social media sentiment analysis model based on DistilBERT, capable of classifying text into non-negative and negative sentiment categories.

Emollama-7b is the first open-source large language model series EmoLLMs with instruction-following capability, fine-tuned based on LLaMA2-7B for comprehensive sentiment analysis

A COVID-related French tweet classification model fine-tuned based on Yanzhu/bertweetfr-base, designed to identify COVID-related topics in tweets.