bm_25

BM25 stands for Best Matching 25. It is widely using for ranking documents and a preferred method than TF*IDF scores.
It is used to find the similar documents from a corpus, given a new document. It is popularly used in information retrieval systems.
This implementation is based on c++ functions hence quite optimised as well.

The idea is to provide a standard interface
to users who use both R and Python for building machine learning models.
This package provides a scikit-learn's fit, predict interface to
train machine learning models in R.

Manish Saraswat

superml

Build Machine Learning Models Like Using Python's Scikit-Learn
Library in R

bm_25 function

<dl><dt>document</dt>
<dd>a string for which to find similar documents</dd>
<dt>corpus</dt>
<dd>a vector of strings against which document is to be matched</dd>
<dt>top_n</dt>
<dd>top n similar documents to find</dd></dl>

Arguments

BM25 Matching — bm_25

<dl>

<dt>document</dt>
<dd>a string for which to find similar documents</dd>


<dt>corpus</dt>
<dd>a vector of strings against which document is to be matched</dd>


<dt>top_n</dt>
<dd>top n similar documents to find</dd>

</dl>

bm_25: BM25 Matching

Description

Usage

Value

Arguments

Examples