mbejda/Nodejs-Stanford-Classifier
Nodejs wrapper for Stanford Classifier.
This is a Node.js wrapper for the Stanford Classifier, designed for developers who need to integrate text classification into their JavaScript applications. It takes raw text data as input, which you first use to train a classifier. Once trained, you can then feed new text into it, and it will output a predicted category or label for that text. This is useful for web application developers building features that require automated text categorization.
No commits in the last 6 months.
Use this if you are a Node.js developer building an application that needs to categorize text using a pre-trained dataset or by training a custom model.
Not ideal if you are not a Node.js developer or if you need a pre-built, out-of-the-box solution without custom coding.
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Language
JavaScript
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Last pushed
Feb 13, 2021
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