Michael Perez Balry

Balry / tf.py

Created February 16, 2017 05:08 — forked from satomacoto/tf.py

create a document-term frequency matrix

	# create candidate sentense set
	docs = [['a', 'b', 'c'],
	['b', 'd']]
	terms = ['a', 'b', 'c', 'd']
	vlist = []
	n = len(docs)
	d = len(terms)
	for doc in docs:
	tmp = []
	for term in doc:

Balry / tfidf java

Created February 16, 2017 05:00 — forked from johnconroy/tfidf java

Term frequency Inverse Document Frequency Java

	package tfidf;

	import java.io.BufferedReader;
	import java.io.File;
	import java.io.FileNotFoundException;
	import java.io.FileReader;
	import java.io.FileWriter;
	import java.io.IOException;
	import java.text.DecimalFormat;
	import java.util.ArrayList;