This model performs multi-class sentiment analysis on text in 23 languages. Built on DistilBERT and trained on synthetic and real data, it is suitable for brand monitoring, product reviews, and social media analysis. It can be used via the Transformers library for quick integration into applications.
In the Other AI space, Multilingual Sentiment Analysis takes a focused approach. Automatically determining sentiment polarity from customer feedback and social media text across many languages. It is built as an open-source project for developers. Multilingual Sentiment Analysis is open source under the Open Source license. It runs on the web and API.
tabularisai builds and maintains Multilingual Sentiment Analysis, and the product first shipped in 2024. Key capabilities include Text Classification, Multilingual Support, and Sentiment Analysis. It exposes integrations via a public API.
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