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empath-sentiment-analysis
Advanced tools
Empath lets you perform client side sentiment analysis. It is designed to work with emails.
Features include:
Usage:
Install module
npm install --save-dev empath-sentiment-analysis
Using 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.
Using 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
Using 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.
Using Readability analyser
import empath from 'empath-sentiment-analysis';
const readabilityScore = empath.calculateReadabilityScore(email);
Anything above 4.0 is considered advanced vocab
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
FAQs
Tools to analyse sentiment in the browser
The npm package empath-sentiment-analysis receives a total of 27 weekly downloads. As such, empath-sentiment-analysis popularity was classified as not popular.
We found that empath-sentiment-analysis 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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