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auto-tagger
Advanced tools
Simple JavaScript text auto tagger
Include the javascript in the browser:
<!-- recommended -->
<script type="text/javascript" src="autotagger.min.js"></script>
<!-- Using cdn (Depends on rawgit) -->
<script type="text/javascript" src="https://cdn.rawgit.com/eberlitz/autoTagger/master/dist/autotagger.min.js"></script>
or use it in Node.js:
$> npm install auto-tagger
var autoTagger = require('auto-tagger');
You can use the folowing methods to extract relevant tags from documents:
var testText = "This text is from a Wikipedia entry about Bayes' Theorem. Bayesian inference has applications in artificial intelligence and expert systems. Bayesian inference techniques have been a fundamental part of computerized pattern recognition techniques since the late 1950s. There is also an ever growing connection between Bayesian methods and simulation-based Monte Carlo techniques since complex models cannot be processed in closed form by a Bayesian analysis, while the graphical model structure inherent to statistical models, may allow for efficient simulation algorithms like the Gibbs sampling and other Metropolis-Hastings algorithm schemes. Recently Bayesian inference has gained popularity amongst the phylogenetics community for these reasons; applications such as BEAST, MrBayes and P4 allow many demographic and evolutionary parameters to be estimated simultaneously."
var tags = autoTagger
// using portuguese Brasil stop words
.useStopWords('pt-br')
// using english stop words
.useStopWords('en')
// adding aditionals stop words
.useStopWords(['will'])
// extract tags from text
// return tags that have at least 2 ocurrences
// and look for ocurrences of 4 consecutive words
.fromText(testText,2,4)
// Format the output
.map(function(w){return w.word + ':'+ w.count}).join('\r\n');
/*
* print results to the console:
* "bayesian:5
* bayesian inference:3
* inference:3
* techniques:3
* techniques since:2
* applications:2
* since:2
* models:2
* allow:2"
*
*/
console.log(tags);
FAQs
Simple text auto tagger in JavaScript
The npm package auto-tagger receives a total of 0 weekly downloads. As such, auto-tagger popularity was classified as not popular.
We found that auto-tagger demonstrated a not healthy version release cadence and project activity because the last version was released a year ago. It has 1 open source maintainer collaborating on the project.
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