tokens_filtered = []
for token in tokens:
if token in stopwords.words('english'):
tokens_filtered += ["*"]
else:
tokens_filtered += [ token ]
# stemming
#normalized_tokens = [stemmer.stem(token) for token in tokens if token not in stopwords.words('english')]
normalized_tokens = [stemmer.stem(token) for token in tokens_filtered]
print "Tokens set filtered and stemmed :", normalized_tokens
window_size = 10
matrix = WordMatrix()
win_start = 0
while win_start + window_size <= len(normalized_tokens):
window = normalized_tokens[win_start:win_start + window_size]
first = 0
second = 1
while first < len(window):
second = first + 1
while second < len(window):
matrix.add(window[first], window[second], window_size - second + first + 1)
second += 1
first += 1
win_start += 1
print "Co-occurence counted"
tokens_filtered = []
for token in tokens:
if token in stopwords.words('english'):
tokens_filtered += ["*"]
else:
tokens_filtered += [token]
# stemming
#normalized_tokens = [stemmer.stem(token) for token in tokens if token not in stopwords.words('english')]
normalized_tokens = [stemmer.stem(token) for token in tokens_filtered]
print "Tokens set filtered and stemmed :", normalized_tokens
window_size = 10
matrix = WordMatrix()
win_start = 0
while win_start + window_size <= len(normalized_tokens):
window = normalized_tokens[win_start:win_start + window_size]
first = 0
second = 1
while first < len(window):
second = first + 1
while second < len(window):
matrix.add(window[first], window[second],
window_size - second + first + 1)
second += 1
first += 1
win_start += 1
tokens_filtered = []
for token in tokens:
if token in stopwords.words('english'):
tokens_filtered += ["*"]
else:
tokens_filtered += [ token ]
# stemming
#normalized_tokens = [stemmer.stem(token) for token in tokens if token not in stopwords.words('english')]
normalized_tokens = [stemmer.stem(token) for token in tokens_filtered]
print "Tokens set filtered and stemmed :", normalized_tokens
window_size = 10
matrix = WordMatrix()
win_start = 0
while win_start + window_size <= len(normalized_tokens):
window = normalized_tokens[win_start:win_start + window_size]
first = 0
second = 1
while first < len(window):
second = first + 1
while second < len(window):
matrix.add(window[first], window[second], window_size - second + first + 1)
second += 1
first += 1
win_start += 1
print "Co-occurence counted"
print
# maybe should first do sent_tokenize, then word_tokenize
tokens = word_tokenize(text)
normalized_tokens = []
# i chose the one everybody knows
stemmer = PorterStemmer()
# tokenization and stemming
for token in tokens:
normalized_tokens += [stemmer.stem(token)]
window_size = 5
matrix = WordMatrix()
win_start = 0
while win_start + window_size <= len(normalized_tokens):
window = normalized_tokens[win_start : win_start + window_size]
first = 0
second = 1
while first < len(window):
second = first + 1
while second < len(window):
matrix.add(window[first], window[second], window_size - second + first + 1)
second += 1
first += 1
win_start += 1
# todo: tabs stuff, cool printing
print
# maybe should first do sent_tokenize, then word_tokenize
tokens = word_tokenize(text)
normalized_tokens = []
# i chose the one everybody knows
stemmer = PorterStemmer()
# tokenization and stemming
for token in tokens:
normalized_tokens += [stemmer.stem(token)]
window_size = 5
matrix = WordMatrix()
win_start = 0
while win_start + window_size <= len(normalized_tokens):
window = normalized_tokens[win_start:win_start + window_size]
first = 0
second = 1
while first < len(window):
second = first + 1
while second < len(window):
matrix.add(window[first], window[second],
window_size - second + first + 1)
second += 1
first += 1
win_start += 1