Afinn Lookup

A useful library for sentiment analysis that scores words using the AFINN-111 word list.

Usage

You probably want to use the dist-normal version for the original AFINN-111 list.

Once you have afinn-lookup.js in your node_modules folder, use:

let __afinn = require("afinn-lookup");

Once you have this you can score words like this:

// normal usage
console.log("'wonderful': "+ __afinn.Score("wonderful")); // 'wonderful': 4

// you can use any case:
console.log("'WONDERful': "+ __afinn.Score("WONDERful")); // 'WONDERful': 4

Delicious raisins d'etre

Another implementation of this exists (handily on NPM) but I rolled my own because:

• I have my own amended version of the wordlist (optional)
• This version performs case sanitisation
• This version returns a score of 0 instead of undefined if the given word is not listed
• I made this largely for my own convenience as I like to use it to analyse a lot of different datasets in different ways and copying files and functions around is a pain

Amended version

This is the current difference in my annotated version (+added -removed):

+ criticise
+ criticised
+ criticises
+ criticising
+ dehumanise
+ dehumanised
+ dehumanises
+ dehumanising
+ demoralised
+ disorganised
+ immobilised
+ monopolise
+ monopolised
+ monopolises
+ monopolising
+ terrorise
+ terrorised
+ terrorises
+ victimise
+ victimised
+ victimises
+ victimising

(list generated automatically)

Currently the main change is to add more British variations as much of my source data tends to be British in origin.

Demo

"use strict";

let __afinn = require("afinn-lookup");

// normal usage
console.log("'wonderful': "+ __afinn.Score("wonderful")); // 'wonderful': 4

// you can use any case:
console.log("'WONDERful': "+ __afinn.Score("WONDERful")); // 'WONDERful': 4

// =========================================================================================
// you might want to sanitise punctuation away from words so they can be scored properly, for example remove the semicolon so that 'cruel' is recognised:
let words_not_sanitised = "Be wise as thou art cruel; do not press My tongue-tied patience with too much disdain";
let words_sanitised =     "Be wise as thou art cruel do not press My tongue-tied patience with too much disdain";

function MarkWords(text)
{
	let words = text.split(" ");
	
	for(let i = 0, n = words.length; i < n; i++)
	{
		let score = __afinn.Score(words[i]);
		
		if(score < 0)
		{
			words[i] = "<"+ words[i] +"<";
		}
		else if(score > 0)
		{
			words[i] = ">"+ words[i] +">";
		}
	}
	
	return words.join(" ");
}

console.log("NOT SANITISED: "+ MarkWords(words_not_sanitised)); // NOT SANITISED: Be wise as thou art cruel; do not press My tongue-tied patience with too much <disdain<
console.log("---");
console.log("SANITISED: "+ MarkWords(words_sanitised)); // SANITISED: Be wise as thou art <cruel< do not press My tongue-tied patience with too much <disdain<
// =========================================================================================

Acknowledgements

• AFINN word-sentiment list (paper) - Finn Årup Nielsen