def applyStem(my_list):
porter = Stemmer.PorterStemmer()
data = []
for token in my_list:
if re.match(r'[a-z]+', token):
token = porter.stem(token, 0, len(token) - 1)
data += [token]
return data
def clean_text(doc):
words = re.sub("[^a-zA-z0-9]", " ",
doc) # removing puncutations and otherchracters.
clean_words = words.lower().split() # spliting docs into words
stop = set(stopwords.words("english")) # stop words (NLTK module is used)
stop.add('w')
important_words = [w for w in clean_words
if not w in stop] # removing stop words from list
last_words = [
Stemmer.PorterStemmer().stem(w, 0,
len(w) - 1) for w in important_words
] # stemming the words(given stemmer is used)
return " ".join(last_words) # joining and returning