Hugging Face provides a tutorial on how to perform sentiment analysis on tweets using their Transformers library. The article explains the basics of sentiment analysis and how to use pre-trained models to classify text as positive, negative, or neutral. It also covers how to fine-tune these models for specific tasks and handle edge cases such as sarcasm and irony. --- Why it matters: Understanding sentiment in social media data is crucial for researchers and engineers working on natural language processing and AI applications, as it can help improve the accuracy of text classification models. Source: https://huggingface.co/blog/sentiment-analysis-twitter