About stdlib...
We believe in a future in which the web is a preferred environment for numerical computation. To help realize this future, we've built stdlib. stdlib is a standard library, with an emphasis on numerical and scientific computation, written in JavaScript (and C) for execution in browsers and in Node.js.
The library is fully decomposable, being architected in such a way that you can swap out and mix and match APIs and functionality to cater to your exact preferences and use cases.
When you use stdlib, you can be absolutely certain that you are using the most thorough, rigorous, well-written, studied, documented, tested, measured, and high-quality code out there.
To join us in bringing numerical computing to the web, get started by checking us out on GitHub, and please consider financially supporting stdlib. We greatly appreciate your continued support!
A list of positive opinion words.
import words from 'https://cdn.jsdelivr.net/gh/stdlib-js/datasets-liu-positive-opinion-words-en@deno/mod.js';Returns a list of positive opinion words.
var list = words();
/* returns
[
'a+',
'abound',
'abounds',
'abundance',
'abundant',
'accessable',
'accessible',
'acclaim',
'acclaimed',
'acclamation',
'accolade',
'accolades',
...
]
*/- A word's appearance in a sentence does not necessarily imply a positive or negative opinion. See Liu (2010).
- The list includes misspelled words. Their presence is intentional, as such misspellings frequently occur in social media content.
import floor from 'https://cdn.jsdelivr.net/gh/stdlib-js/math-base-special-floor@deno/mod.js';
import randu from 'https://cdn.jsdelivr.net/gh/stdlib-js/random-base-randu@deno/mod.js';
import words from 'https://cdn.jsdelivr.net/gh/stdlib-js/datasets-liu-positive-opinion-words-en@deno/mod.js';
var list = words();
var len = list.length;
var idx;
var i;
// Select random words from the list...
for ( i = 0; i < 100; i++ ) {
idx = floor( randu()*len );
console.log( list[ idx ] );
}- Hu, Minqing, and Bing Liu. 2004. "Mining and Summarizing Customer Reviews." In Proceedings of the Tenth Acm Sigkdd International Conference on Knowledge Discovery and Data Mining, 168–77. KDD '04. New York, NY, USA: ACM. doi:10.1145/1014052.1014073.
- Liu, Bing, Minqing Hu, and Junsheng Cheng. 2005. "Opinion Observer: Analyzing and Comparing Opinions on the Web." In Proceedings of the 14th International Conference on World Wide Web, 342–51. WWW '05. New York, NY, USA: ACM. doi:10.1145/1060745.1060797.
- Liu, Bing. 2010. "Sentiment Analysis and Subjectivity." In Handbook of Natural Language Processing, edited by Nitin Indurkhya and Fred J. Damerau, 2nd ed., 627–66. Chapman & Hall/CRC. https://www.crcpress.com/Handbook-of-Natural-Language-Processing-Second-Edition/Indurkhya-Damerau/p/book/9781420085921.
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 Bing Liu and Minqing Hu and can be found here. The software is licensed under Apache License, Version 2.0.
@stdlib/datasets-liu-negative-opinion-words-en: A list of negative opinion words.
This package is part of stdlib, a standard library 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.
Copyright © 2016-2024. The Stdlib Authors.