What sentiment categories are returned?
The API returns three categories: positive, negative, and neutral. It also provides a numeric score from -5 (very negative) to +5 (very positive) and a comparative score normalized by text length.
Can it handle informal text and emojis?
Yes, our sentiment model is trained on social media data and handles informal language, slang, abbreviations, and common emojis.
How accurate is the sentiment analysis?
Our model achieves 85%+ accuracy on standard benchmarks. Accuracy is highest for clearly positive or negative text and may vary for sarcasm or highly context-dependent language.
What languages are supported?
Currently, the API is optimized for English text. Support for additional languages is planned for future releases.
Is there a text length limit?
The API accepts texts up to 10,000 characters. For longer documents, we recommend splitting into paragraphs and averaging the results.
Can I use this for customer review analysis?
Absolutely. Sentiment analysis is ideal for processing customer reviews, NPS feedback, support tickets, and survey responses at scale.
