Getting Started with Sentiment Analysis on Twitter

Hugging Face · 4 years ago · 32

Sentiment analysis is a machine learning technique that automatically classifies text as positive, negative, or neutral, and companies use it to monitor customer feedback on Twitter and detect potential issues early. The article demonstrates a practical example analyzing 1,000 tweets mentioning Notion, which showed 498 positive tweets (50%), 420 neutral (42%), and 82 negative (8.2%). Users can perform sentiment analysis either through Python code using the Inference API or through no-code tools like Zapier integrated with Google Sheets.