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empath-sentiment-analysis

Tools to analyse sentiment in the browser

  • 1.0.1
  • Source
  • npm
  • Socket score

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29
increased by141.67%
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Empath can be used to perform client side sentiment analysis. It is designed to work with emails.

Features include:

  • multilingual sentiment analysis (German and English supported currently)
  • DISC profile analysis
  • email signature recognition (so only the email body gets analysed)
  • egoismAnalyser (so you can figure out how selfish someone is based on their communication)

Usage:

  1. npm install --save-dev empath-sentiment-analysis

  2. Sentiment analyser:

Modified from https://github.com/thisandagain/sentiment/blob/master/lib/index.js

import empath from 'empath-sentiment-analysis'; empath.analyseSentiment(phrase = '', attributesOfInterest = []);

Result: { wordListDidNotMatch: tryAnotherWordList, score: score, comparative: score / tokens.length, tokens: tokens, words: words, positive: positive, negative: negative, attributeScores: attributeScores };

Attribute scores are useful if you have a number of products for which you want to analyse sentiment. Review the test cases for more details.

  1. DISC Profile Guesser

import empath from 'empath-sentiment-analysis'; empath.guessDISCProfile.getUserReadableDISCProfile(email);

result: { 'D': D, 'I': I, 'S': S, 'C': C, }

or empath.guessDISCProfile.getUserReadableDISCProfile(email);

result: two letters indicating primary and secondary profile, e.g. DC

  1. Email parser

import empath from 'empath-sentiment-analysis'; const emailWithoutSignatureAndQuotedReplies = empath.parseEmail(email);

If you supply an email with a long signature and quoted replies from the thread, it will trim everything except the first email.

  1. Readability analyser

import empath from 'empath-sentiment-analysis'; const readabilityScore = empath.calculateReadabilityScore(email);

Anything above 4.0 is considered advanced vocab

  1. Egoism analyser

import empath from 'empath-sentiment-analysis'; const egoismScore = empath.analyseEgoism(email);

Result: { selfish, controlling, conforming };

Selfish = number of selfish words used Controlling = number of command/imperative words used Conforming = number of we/group style words

Ratio can yield interesting insights about personality

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Package last updated on 23 Jul 2016

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