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preprocess-tweets

v0.0.3

Published

Clean tweets and makes them ready for training

Downloads

12

Readme

Preprocessing of tweets

This module can be used for easier preparation of training twitter data. It removes:

  • mentions
  • links
  • emojis
  • keyword RT
  • sentences, which contain single word
  • some special characters

There is an option to filter whether you want to remove URLs, mentions and emojis.

The default option is:

var filter = {
    "mentions": true,
    "links": true,
    "emojis": true
}

For example:

The tweet:

New @Imaginedragons song 'Whatever It Takes' and a new album 'Evolve'. I'm so #excited this song is incredible ❤️ https://t.co/PS9NM4pTBQ

Will become:

New song 'Whatever It Takes' and a new album 'Evolve'. I'm so excited this song is incredible 

Install

npm install preprocess-tweets

Prequisits

The file with the extracted tweets shuold be txt file, containing one tweet per row.

Example

In this example the URLs won't be deleted.

var preprocessing = require('preprocess-tweets')

var file = './originalFile.txt';
var writeFile = './modifiedFile.txt'

var filter = {
    "mentions": true,
    "links": false,
    "emojis": true
}

preprocessing.clean(file, writeFile, JSON.stringify(filter))

The result will be new file, containing the modified tweets.