Determine textual likeness with Language Style Matching
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npm install lsm
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|Version||0.1.2 last updated 11 months ago|
|Keywords||linguistics, language, text analysis|
An interface for using Language Style Matching to determine the likeness of different texts and their authors.
npm install lsm
Initialize an LSM object with a text sample, and then use
compare to compare it to other LSM objects, or
combine to merge LSM objects.
Here we'll compare likeness based on two diaries:
var LSM = require('lsm').LSM // text samples , my_text = require('./my_diary') , your_text = require('./your_diary'); // lsm objects , my_lsm = new LSM(my_text) , your_lsm = new LSM(your_text); // your likeness: a number between 0 and 1, // where 1 is identical and 0 is no similarity console.log(my_lsm.compare(your_lsm));
You can calculate likeness amongst groups by combining multiple LSM objects with
var other_text = require('./mountains_of_madness') , other_lsm = new LSM(other_text) , our_lsm = my_lsm.combine(your_lsm); // our combined likeness to a third text sample. console.log(our_lsm.compare(other_lsm));
What is Language Style Matching?
Language Style Matching (LSM) uses function words -- like conjunctions, pronouns, prepositions, etc. -- as proxies for the author's personality. LSM calculates likeness between people and texts by comparing how much of a text function words constitute.
In research, LSM has proven a resilient indicator of compatibility in romance, friendship, and business.
Read the Economist's thoughts on it, or check out the science: