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vectorization.py
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vectorization.py
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import csv
import re
from topia.termextract import extract
extractor = extract.TermExtractor()
vocabulary=[]
with open('C:\Minor Project\Kaggle Dataset\jobs.tsv', 'rb') as tsv_file:
tsv_reader = csv.reader(tsv_file, delimiter='\t')
titles=[]
for row in tsv_reader:
print row
titles=row
break
k=0
while k < len(titles) :
vocabulary.append(set())
k+=1
print vocabulary
count=0
with open('C:\Minor Project\Kaggle Dataset\jobs.tsv', 'rb') as tsv_file:
tsv_reader = csv.reader(tsv_file, delimiter='\t')
titles=[]
for row in tsv_reader:
pattern = re.compile(r"<.>")
row= [pattern.sub("", item) for item in row]
pattern = re.compile(r"</.>")
row= [pattern.sub("", item) for item in row]
pattern = re.compile(r"<a.*>")
row= [pattern.sub("", item) for item in row]
pattern = re.compile(r" ")
row= [pattern.sub("", item) for item in row]
pattern = re.compile(r"\\r")
row= [pattern.sub(" ", item) for item in row]
row= [item.lower() for item in row]
pattern = re.compile(r" +")
row= [pattern.sub(" ", item) for item in row]
pattern = re.compile(r"\\n")
row= [pattern.sub(" ", item) for item in row]
pattern = re.compile(r" \*")
row= [pattern.sub(" ", item) for item in row]
print row
extractor.filter = extract.permissiveFilter
l=0
while l < len(row):
#vocabulary[l].append()
print "terms:-"
for term in extractor(row[l]):
vocabulary[l].add(term[0])
print vocabulary[l]
l+=1
count+=1
if count==50:
break
print vocabulary
data=[]
count=0
with open('C:\Minor Project\Kaggle Dataset\jobs.tsv', 'rb') as tsv_file:
tsv_reader = csv.reader(tsv_file, delimiter='\t')
for row in tsv_reader:
if count==50:
break
pattern = re.compile(r"<.>")
row= [pattern.sub("", item) for item in row]
pattern = re.compile(r"</.>")
row= [pattern.sub("", item) for item in row]
pattern = re.compile(r"<a.*>")
row= [pattern.sub("", item) for item in row]
pattern = re.compile(r" ")
row= [pattern.sub("", item) for item in row]
pattern = re.compile(r"\\r")
row= [pattern.sub(" ", item) for item in row]
row= [item.lower() for item in row]
pattern = re.compile(r" +")
row= [pattern.sub(" ", item) for item in row]
pattern = re.compile(r"\\n")
row= [pattern.sub(" ", item) for item in row]
pattern = re.compile(r" \*")
row= [pattern.sub(" ", item) for item in row]
fvector=[]
l=0
while l < len(row):
vector=[]
for vocab in vocabulary[l]:
if vocab in row[l]:
vector.append(1)
else:
vector.append(0)
l+=1
fvector.append(vector)
#print fvector
data.append(fvector)
count+=1
f = open('feature_vectors.txt', 'w')
print "feature vectors!!:-"
for da in data:
print da
print>> f,da
print>>f,"\n"