Created
December 10, 2012 23:02
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Feature Vector Generation for supplied BoWs
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#!/usr/bin/python | |
#Script to generate feature vector for a supplied BoWs file. | |
#Date: Nov 2 2012 | |
#Author: Hota Sobhan | |
from string import punctuation | |
from operator import itemgetter | |
words = {} | |
total_words = 0 | |
import sys | |
for arg in sys.argv: | |
words_gen = (word.strip(punctuation).lower() for line in open(arg) | |
for word in line.split()) | |
for word in words_gen: | |
words[word] = words.get(word, 0) + 1 | |
top_words = sorted(words.iteritems(), key=itemgetter(1), reverse=True) | |
#Capture Total Words | |
f = open(arg) | |
data = f.readlines() | |
for lines in data: | |
all_words = lines.split() | |
total_words += len(all_words) | |
f.close() | |
#Read the lines from Top 500 Words list | |
f_500 = open('C:\Python27\Top_Bows_PROD.txt') | |
data_500 = f_500.readlines() | |
#Loop in most frequent 500 List | |
for lines_500 in data_500: | |
for word, frequency in top_words: | |
#print lines_500, word, frequency | |
if lines_500 == word+'\n': | |
print '%f,' % ((frequency/float(total_words))*1000), | |
break | |
else: | |
print '%f,' % ((1/float(total_words))*1000), | |
break | |
print arg[0:2] |
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