@stdlib/datasets-afinn-96

A list of English words rated for valence.

Usage no npm install needed!

<script type="module">
  import stdlibDatasetsAfinn96 from 'https://cdn.skypack.dev/@stdlib/datasets-afinn-96';
</script>

README

AFINN-96

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A list of English words rated for valence.

Installation

npm install @stdlib/datasets-afinn-96

Usage

var afinn96 = require( '@stdlib/datasets-afinn-96' );

afinn96()

Returns a list of 1468 unique English words (and phrases) rated for valence. Negative words have a negative valence ([-5,0)). Positive words have a positive valence ((0,5]). Neutral words have a valence of 0.

var words = afinn96();
/* returns
    [
        ['abandon',-2],
        ['abandons',-2],
        ['abandoned',-2],
        ['absentee',-1],
        ['absentees',-1],
        ['aboard',1],
        ['abducted',-2],
        ['abduction',-2],
        ['abductions',-2],
        ['abuse',-3],
        ['abused',-3],
        ...
    ]
*/

Notes

  • The list is an earlier version of AFINN-111.
  • The list contains duplicated words.
  • The list includes misspelled words. Their presence is intentional, as such misspellings frequently occur in social media content.
  • All words are lowercase.
  • Some "words" are phrases; e.g., cashing in, cool stuff.
  • Words may contain apostrophes; e.g., can't stand.
  • Words may contain dashes; e.g., cover-up, made-up.

Examples

var afinn96 = require( '@stdlib/datasets-afinn-96' );

var words;
var dict;
var len;
var i;

words = afinn96();

// Convert to a dictionary...
len = words.length;
dict = {};
for ( i = 0; i < len; i++ ) {
    dict[ words[i][0] ] = words[i][1];
}
console.dir( dict );

CLI

Installation

To use the module as a general utility, install the module globally

npm install -g @stdlib/datasets-afinn-96

Usage

Usage: afinn-96 [options]

Options:

  -h,    --help                Print this message.
  -V,    --version             Print the package version.
         --format fmt          Output format: 'csv' or 'ndjson'.

Notes

  • The CLI supports two output formats: comma-separated values (CSV) and newline-delimited JSON (NDJSON). The default output format is CSV.

Examples

$ afinn-96
word,valence
abandon,-2
abandons,-2
abandoned,-2
...

References

  • Nielsen, Finn Årup. 2011. "A new ANEW: Evaluation of a word list for sentiment analysis in microblogs." In Proceedings of the ESWC2011 Workshop on 'Making Sense of Microposts': Big things come in small packages., 718:93–98. CEUR Workshop Proceedings. http://ceur-ws.org/Vol-718/paper_16.pdf.
  • Hansen, Lars Kai, Adam Arvidsson, Finn Årup Nielsen, Elanor Colleoni, and Michael Etter. 2011. "Good Friends, Bad News - Affect and Virality in Twitter." In Future Information Technology: 6th International Conference, FutureTech 2011, Loutraki, Greece, June 28-30, 2011, Proceedings, Part II, edited by James J. Park, Laurence T. Yang, and Changhoon Lee, 34–43. Berlin, Heidelberg: Springer Berlin Heidelberg. doi:10.1007/978-3-642-22309-9_5.

License

The data files (databases) are licensed under an Open Data Commons Attribution 1.0 License and their contents are licensed under a Creative Commons Attribution 4.0 International Public License. The original dataset is attributed to Finn Årup Nielsen and can be found here. The software is licensed under Apache License, Version 2.0.

Notice

This package is part of stdlib, a standard library for JavaScript and Node.js, with an emphasis on numerical and scientific computing. The library provides a collection of robust, high performance libraries for mathematics, statistics, streams, utilities, and more.

For more information on the project, filing bug reports and feature requests, and guidance on how to develop stdlib, see the main project repository.

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Copyright

Copyright © 2016-2021. The Stdlib Authors.