covectric

0.0.7 • Public • Published

covectric

Covectric is a simple vector based search engine using cosine similarity and tf–idf methods for finding text similarity between documents.

Define "covectric"

Two documents are said to be covectric if they share at least one dimension (or term).

Install

> npm install covectric

Usage

//instantiate the model
var covectric = require('covectric');
var model = new covectric.Model();
 
//populate the vector space and weight tokens based on term frequency
var id = 1;
['hello','hi','hi there','hey','hi to you'].forEach(function(t) {
    model.upsertDocument(id++, t, t);
});
model.recomputeVectorBaseTokenWeights();
 
//search the vector space
 
var results = model.search("hi bob", 3);
console.log("Search Results:", results);
 

Samples

See the samples directory in the repo for more examples of using Covectric

Reference

http://en.wikipedia.org/wiki/Vector_space_model

http://en.wikipedia.org/wiki/Cosine_similarity

http://en.wikipedia.org/wiki/Tf-idf

License

MIT Licensed

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    Dev Dependencies (0)

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      Install

      npm i covectric

      Weekly Downloads

      0

      Version

      0.0.7

      License

      MIT

      Unpacked Size

      13 kB

      Total Files

      7

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      Collaborators

      • mpalmerlee