npm package discovery and stats viewer.

Discover Tips

  • General search

    [free text search, go nuts!]

  • Package details

    pkg:[package-name]

  • User packages

    @[username]

Sponsor

Optimize Toolset

I’ve always been into building performant and accessible sites, but lately I’ve been taking it extremely seriously. So much so that I’ve been building a tool to help me optimize and monitor the sites that I build to make sure that I’m making an attempt to offer the best experience to those who visit them. If you’re into performant, accessible and SEO friendly sites, you might like it too! You can check it out at Optimize Toolset.

About

Hi, 👋, I’m Ryan Hefner  and I built this site for me, and you! The goal of this site was to provide an easy way for me to check the stats on my npm packages, both for prioritizing issues and updates, and to give me a little kick in the pants to keep up on stuff.

As I was building it, I realized that I was actually using the tool to build the tool, and figured I might as well put this out there and hopefully others will find it to be a fast and useful way to search and browse npm packages as I have.

If you’re interested in other things I’m working on, follow me on Twitter or check out the open source projects I’ve been publishing on GitHub.

I am also working on a Twitter bot for this site to tweet the most popular, newest, random packages from npm. Please follow that account now and it will start sending out packages soon–ish.

Open Software & Tools

This site wouldn’t be possible without the immense generosity and tireless efforts from the people who make contributions to the world and share their work via open source initiatives. Thank you 🙏

© 2024 – Pkg Stats / Ryan Hefner

mallet-topics

v2.3.0

Published

A javascript wrapper for the MALLET command line tool for topic modelling.

Downloads

12

Readme

Mallet Topics

A javascript wrapper for the MALLET command line tool for topic modelling. Really? Yeah.

Dependencies

MALLET 2.0.8

Java

Installation

yarn add mallet-topics

Example

const { importData, trainTopics } = require('mallet-topics')

const malletExecutable = '/path/to/mallet-2.0.8/bin/mallet'
const dataDir = '/path/to/dir/containing/textfiles'

importData(
  malletExecutable,
  dataDir,
)
.then(({ malletDataFile }) => {
  console.log(`Successfully imported data into ${malletDataFile}`)
  return malletDataFile
})
.then(malletDataFile => trainTopics(
  malletExecutable,
  malletDataFile,
))
.then(({ topicKeysFile, docTopicsFile }) => {
  console.log(`Successfully trained topics. Have a look at ${topicKeysFile} and ${docTopicsFile}`)
})
.catch(err => {
  console.log(err.message)
})

Docs

importData(mallet, dataDir, options)

Returns a promise which resolves when data is successfully imported to MALLET format. The resolve value is an object with a property malletDataFile which points to the newly created .mallet file.

  • mallet - absolute path to executable e.g. /path/to/mallet-2.0.8/bin/mallet
  • dataDir - absolute path to directory of text files to classify (one file per document)
  • options
    • malletDataFile - filepath to write data in MALLET format (default ./${Date.now()}_data.mallet)
    • stopFile - path to file containing newline-separated stopwords to omit from classification
    • onStdData(stdType, msg) - function to handle data sent to stdout or stderr from MALLET child process (default (stdType, msg) => console.log(msg.toString()))
    • singleFile - boolean to determine whether import-dir or import-file is used. Default false (one instance per file).

trainTopics(mallet, malletDataFile, options)

Returns a promise which resolves when topics are successfully generated. The resolve value is an object with properties topicKeysFile and docTopicsFile which contain the generated topics and document topic scores respectively.

  • mallet - absolute path to executable e.g. /path/to/mallet-2.0.8/bin/mallet
  • malletDataFile - filepath to data file created by importData
  • options
    • numTopics - number of topics to generate (default 10)
    • numIterations - number of sampling iterations (default 100)
    • topicKeysFile - filepath to write topics in tab-separated format (default ./${Date.now()}_topics.tsv)
    • docTopicsFile - filepath to write topic scores for each document in tab-separated format (default ./${Date.now()}_doc_topics.tsv)
    • optimizeInterval - number of iterations between hyperparameter optimizations (default undefined)
    • optimizeBurnIn - number of iterations before hyperparameter optimization begins (default 2*optimizeInterval)
    • onStdData(stdType, msg) - function to handle data sent to stdout or stderr from MALLET child process (default (stdType, msg) => console.log(msg.toString()))