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Provider Summary
detect abusive content
analyze text sentiment
extract named entities
detect text topics
detect languages
calculate semantic similarity
compare named entities
translate text
clean up markup text
inspect language model entries
Analyze text to detect abusive content (hate speech, cyberbullying, sexual harassment, criminal activity), extract sentiment, named entities, and topics across 30+ languages. Detect languages in text fragments, calculate semantic similarity between texts, compare named entities cross-linguistically, translate text between supported languages, and clean up markup from text. Provides low-level NLP capabilities including tokenization, part-of-speech tagging, and morphological analysis. Supports configurable content moderation with severity scoring and explanations, document-level and expression-level sentiment analysis, and direct access to underlying language model entries.
This integration is licensed under the AGPL-3.0 License.
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