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How to Detect Speaker Sentiment in Podcasts

One AI lets you detect sentiment in podcasts automatically with a few lines of code. All powered by Language AI models trained on millions of podcasts and articles. . Tip: try it together with the Emotions Skill.
Use Language Skill

Sentiment

Learn the implied sentiment of a given text
With Text Input

Podcasts

Extract sentiment from podcasts
import oneai oneai.api_key = "CLICK_TO_GET_YOUR_API_KEY" pipeline = oneai.Pipeline(steps=[ oneai.skills.Sentiment(), ]) output = pipeline.run("your_input_here") print(output)
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import OneAI from 'oneai'; const oneai = new OneAI({apiKey: 'CLICK_TO_GET_YOUR_API_KEY'}); const pipeline = new oneai.Pipeline( oneai.skills.(), ); const output = await pipeline.run('your_input_here'); console.log(output);
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curl -X POST \ 'https://api.oneai.com/api/v0/pipeline' \ -H 'accept: application/json' \ -H 'Content-Type: application/json' \ -H 'api-key: CLICK_TO_GET_YOUR_API_KEY' \ -d '{ "input": "your_input_here", "steps": [{ "skill": "Sentiment" }] }'
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Add it to Your Product in Minutes

One AI Language Studio
01.
Test your Language AI pipeline with your Podcasts in the Studio
Pipeline API Call
02.
Use the Sentiment pipeline in your code
One AI Language Studio
03.
Enjoy AI-powered Sentiment for Podcasts in your apps & workflows

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