deepgram-python-text-intelligence

To perform sentiment analysis and summarize text, you can use Deepgram's Read API in Python by calling client.read.v1.text.analyze with a payload containing your plain text or a hosted text URL. This returns sentiments, summaries, topics, and intents.

Deepgram Read is used for text intelligence to extract sentiment, summarize content, detect topics, and identify intents. It processes plain text or hosted text URLs to provide analytics for documents, transcripts, and chat data.

Yes, you can analyze hosted text URLs for topic detection and intents in Python. Use the Deepgram Read API by passing a URL in the body of the client.read.v1.text.analyze call to extract topics and intents from the hosted text.

Yes, the Deepgram Python SDK supports intent recognition for chat transcripts. By using the Read API with the appropriate flags for intents, you can process chat text data to identify user intents alongside sentiments, summaries, and topics.

The best way to extract topics and sentiments from documents in Python is using the Deepgram Read API. Call client.read.v1.text.analyze with your document text, ensuring you enable the appropriate flags for topics and sentiment analysis.

Missing sentiment or summary results occur when the appropriate flags for sentiment and summarize are not enabled in the request body. Ensure your client.read.v1.text.analyze call includes the correct language settings and feature flags for topics and intents.