emotive-ai
v0.2.0
Published
Sentiment and emotion analysis cli that uses machine learning and natural language processing to identify and classify emotions in text data
Downloads
10
Readme
EmotiveAI
Sentiment and emotion analysis cli that uses machine learning and natural language processing to identify and classify emotions in text data
Setup
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
Usage
Recommended
npx emotive-ai <text>
Using global installation
npm install -g emotive-ai # npm
yarn add global emotive-ai # yarn
emotive-ai <text>
Example
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.
Support
EmotiveAI is an MIT-licensed open source project. It can grow thanks to the sponsors and support by the amazing backers.
License
EmotiveAI is MIT licensed.