Sentiment and emotion analysis cli that uses machine learning and natural language processing to identify and classify emotions in text data

Get your MONKEY_LEARN_API_KEY and MONKEY_LEARN_MODEL_ID from MonkeyLearn

You'll have to create a account and use the trial mode just to test it

Set your API_KEY and MODEL_ID:

emotive-ai config ui # to use ui prompt directly

emotive-ai config set MONKEY_LEARN_API_KEY=<your key> # for api key

emotive-ai config set MONKEY_LEARN_MODEL_ID=<your model id> # for model

Recommended

npx emotive-ai <text>

Using global installation

npm install -g emotive-ai # npm
yarn add global emotive-ai # yarn


emotive-ai <text>

emotive-ai hello guys

😄 : Positive with 65.81% of confidence A positive sentiment tag indicates that the sentiment of a piece of text is generally positive.This could mean that the text expresses a favorable opinion, conveys happiness or excitement, or generally has a positive tone.

emotive-ai its really a bad day

😢 : Negative with 93.82% of confidence A negative sentiment tag indicates that the sentiment of a piece of text is generally negative. This could mean that the text expresses a critical opinion, conveys sadness or disappointment, or generally has a negative tone.

EmotiveAI is an MIT-licensed open source project. It can grow thanks to the sponsors and support by the amazing backers.

EmotiveAI is MIT licensed.