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.
Multilingual Sentiment Analysis sits in PulseGate's Other AI category. Automatically determining sentiment polarity from customer feedback and social media text across many languages. It is built as an open-source project for developers. The project is open source (Open Source). Multilingual Sentiment Analysis is available on the web and API.
tabularisai builds and maintains Multilingual Sentiment Analysis. Key capabilities include Text Classification, Multilingual Support, and Sentiment Analysis. It exposes integrations via a public API.
Summary written by a language model from the project’s public pages.
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