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How to Detect Speaker Sentiment in Meetings

One AI lets you detect the sentiment in meetings automatically with a few lines of code. Our state-of-the-art Language AI models are trained on recordings of real meetings from various companies. The Emotions Skill is a great addition to it.
Use Language Skill

Sentiment

Learn the implied sentiment of a given text
With Text Input

Meetings

Extract sentiment from meetings
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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01.
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Python
Javascript
cURL
import oneai oneai.api_key = "CLICK_TO_GET_YOUR_API_KEY" pipeline = oneai.Pipeline(steps=[ oneai.skills.Transcribe(), ]) 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.transcribe(), ); 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": "transcribe" }] }'
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