Getting Started with Sentiment Analysis using Python
Hugging Face Blog
Sentiment analysis using Python has been simplified through pre-trained models on platforms like Hugging Face Hub, which now allows developers to classify text sentiment with just five lines of code. The Hub offers more than 215 publicly available sentiment analysis models, including options trained on 58 million tweets and models supporting 28 languages. Fine-tuning a DistilBERT model on 3,000 IMDB movie reviews achieved 88% accuracy, enabling developers to build custom sentiment classifiers for their specific applications.