Sentiment
Description
Sentiment is a model trained to predict the sentiment of any given text. The default model, currently ‘moviereviews’, is trained using IMDB reviews that have been truncated to a maximum of 200 words, only the 20000 most used words in the reviews are used.
Quickstart
// Create a new Sentiment method
const sentiment = ml5.sentiment('movieReviews', modelReady);
// When the model is loaded
function modelReady() {
// model is ready
console.log('Model Loaded!');
}
// make the prediction
const prediction = sentiment.predict(text);
console.log(prediction);
Usage
Initialize
const magic = ml5.Sentiment(model, ?callback);
Parameters
- model: REQUIRED. Defaults to ‘moviereviews’. You can also use a path to a
manifest.json
file via a relative or absolute path. - callback: OPTIONAL. A callback function that is called once the model has loaded. If no callback is provided, it will return a promise that will be resolved once the model has loaded.
Properties
.ready
Boolean value that specifies if the model has loaded.
.model
The model being used.
Methods
.predict()
Given a number, will make magicSparkles
sentiment.predict(text);
📥 Inputs
- text: Required. String. A string of text to predict
📤 Outputs
- Object: Scores the sentiment of given text with a value between 0 (“negative”) and 1 (“positive”).
Examples
p5.js
p5 web editor
plain javascript
Demo
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Tutorials
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Acknowledgements
Contributors:
- Itay Niv
Credits:
- Paper Reference | Website URL | Github Repo | Book reference | etc