afinn-165

What is afinn-165?

The afinn-165 npm package provides a list of English words rated for valence with an integer between -5 and +5. It is used for sentiment analysis, allowing developers to determine the sentiment of a given text by summing the valence scores of the words in the text.

What are afinn-165's main functionalities?

Sentiment Analysis

This feature allows you to perform sentiment analysis on a given text. The code sample demonstrates how to calculate the sentiment score of a text by summing the valence scores of the words in the text.

const afinn = require('afinn-165');
const text = 'I love programming';
const words = text.split(' ');
let sentimentScore = 0;
words.forEach(word => {
  if (afinn[word.toLowerCase()]) {
    sentimentScore += afinn[word.toLowerCase()];
  }
});
console.log('Sentiment Score:', sentimentScore);

Other packages similar to afinn-165

sentiment

The sentiment package is a comprehensive library for performing sentiment analysis in JavaScript. It uses the AFINN-111 wordlist and provides additional features such as negation handling and support for emoticons. Compared to afinn-165, it offers more advanced sentiment analysis capabilities.

vader-sentiment

The vader-sentiment package is a JavaScript implementation of the VADER (Valence Aware Dictionary and sEntiment Reasoner) sentiment analysis tool. It is designed to handle social media text and provides more nuanced sentiment analysis compared to afinn-165.

natural

The natural package is a general natural language processing library for JavaScript. It includes a variety of tools for text processing, including sentiment analysis using the AFINN-111 wordlist. It offers a broader range of NLP functionalities compared to afinn-165.

README

afinn-165

AFINN 165.

Contents

• What is this?
• When should I use this?
• Install
• Use
• API
  • afinn165
• Musings
• Types
• Compatibility
• Related
• Contributing
• Security
• License

What is this?

This package exposes a map of words rated for valence (“goodness” vs “badness”).

When should I use this?

This package can be used for sentiment analysis of words. You can use emoji-emotion for emoji.

Install

This package is ESM only. In Node.js (version 14.14+, 16.0+), install with npm:

npm install afinn-165

In Deno with esm.sh:

import {afinn165} from 'https://esm.sh/afinn-165@2'

In browsers with esm.sh:

<script type="module">
  import {afinn165} from 'https://esm.sh/afinn-165@2?bundle'
</script>

Use

import {afinn165} from 'afinn-165'

afinn165.xoxo //=> 3
afinn165.bankruptcy //=> -3

API

This package exports the identifier afinn165. There is no default export.

afinn165

Map of words to valence (Record<string, number>).

👉 Note: be careful when accessing unknown properties on the afinn165 object, words such as “constructor” or “toString” might occur. It’s recommended to use a hasOwnProperty check beforehand.

Musings

AFINN 165 contains 3382 entries. 905 entries were added and two were changed. Compared to AFINN 111, the following changed:

• many new words
• damn is now rated as -2 (was -4)
• exasperated, futile, irresponsible are now -2 (were 2)
• new entries with spaces: damn cute, damn good, kind of, fucking awesome, fucking beautiful, fucking cute, fucking fantastic, fucking good, fucking great, fucking hot, fucking love, fucking loves, fucking perfect
• new entries with hyphens: environment-friendly, game-changing, ill-fated, loving-kindness, non-approved, post-traumatic, self-abuse, self-contradictory, side-effect, side-effects, violence-related, well-being, well-championed, well-developed, well-established, well-focused, well-groomed, well-proportioned

Types

This package is fully typed with TypeScript. It exports no additional types.

Compatibility

This package is at least compatible with all maintained versions of Node.js. As of now, that is Node.js 14.14+ and 16.0+. It also works in Deno and modern browsers.

Related

• afinn-96 — AFINN list from 2009 with 1468 entries
• afinn-111 — AFINN list from 2011 with 2477 entries
• emoji-emotion — like AFINN but for emoji
• polarity — detect the polarity of text, based on afinn-169 and emoji-emotion

Contributing

Yes please! See How to Contribute to Open Source.

Security

This package is safe.

License

MIT © Titus Wormer