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- When should I use this?
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This package exposes a map of words rated for valence (“goodness” vs “badness”).
This package can be used for sentiment analysis of words.
You can use emoji-emotion
for emoji.
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>
import {afinn165} from 'afinn-165'
afinn165.xoxo //=> 3
afinn165.bankruptcy //=> -3
This package exports the identifier afinn165
.
There is no default export.
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 ahasOwnProperty
check beforehand.
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
This package is fully typed with TypeScript. It exports no additional types.
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.
afinn-96
— AFINN list from 2009 with 1468 entriesafinn-111
— AFINN list from 2011 with 2477 entriesemoji-emotion
— like AFINN but for emojipolarity
— detect the polarity of text, based onafinn-169
andemoji-emotion
Yes please! See How to Contribute to Open Source.
This package is safe.