Package Exports
- predictgender
This package does not declare an exports field, so the exports above have been automatically detected and optimized by JSPM instead. If any package subpath is missing, it is recommended to post an issue to the original package (predictgender) to support the "exports" field. If that is not possible, create a JSPM override to customize the exports field for this package.
Readme
predictgender - Node.js based Gender Prediction
Predict the gender of a string's author.
Usage
const pg = require('predictgender')
const opts = {
'return': 'gender', // Valid options include: 'number', 'lex', or 'gender' (default)
'ngrams': true // include bigrams and trigrams in analysis, not recommended for long strings
}
let text = "A long string of text...."
let gender = pg(text, opts)
Options
"return"
Valid options include: 'number', 'lex', or 'gender' (default)
Number returns -1 for male, 0 for indeterminate or unknown, and 1 for female.
Lex returns the lexical value, positive values being female, negative being male.
Gender returns a string, "Male", "Female", or "Unknown"
'ngrams'
Boolean. Indicates whether or not to include bigrams and trigrams.
It is recommended you set this to false for very long strings.
Acknowledgements
References
Schwartz, H. A., Eichstaedt, J. C., Kern, M. L., Dziurzynski, L., Ramones, S. M., Agrawal, M., Shah, A., Kosinski, M., Stillwell, D., Seligman, M. E., & Ungar, L. H. (2013). Personality, gender, and age in the language of social media: The Open-Vocabulary Approach. PLOS ONE, 8(9), . . e73791.
Lexicon
Using the gender lexicon data from http://www.wwbp.org/lexica.html
Used under the Creative Commons Attribution-NonCommercial-ShareAlike 3.0 Unported licence
Licence
(C) 2017 P. Hughes Creative Commons Attribution-NonCommercial-ShareAlike 3.0 Unported