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stopwords_remover.py
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stopwords_remover.py
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from nltk.tokenize import word_tokenize
from nltk.corpus import stopwords
from html_remover import cleanhtml
########################################
"""
Function to remove built-in stopwords
"""
def built_in_stopwords_removal(data):
#data = data.lower()
words = word_tokenize(data)
cleandata = (" ").join([word for word in words if not word.lower() in stopwords.words("english")])
return cleandata
########################################
"""
Function to remove custom defined stopwords
"""
def user_defined_stopwords_removal(data,stopwords_list):
#data = data.lower()
words = word_tokenize(data)
cleandata = (" ").join([word for word in words if not word.lower() in stopwords_list])
return cleandata
########################################
def auto_datacleaner(data,remove_stopwords=False,stopwords_list=None,remove_html=False):
print(remove_stopwords,remove_html,stopwords_list)
if str(remove_html) == "True":
data = cleanhtml(data)
if str(remove_stopwords) == "True":
if str(stopwords_list) != "None":
if type(stopwords_list) == list:
cleandata = user_defined_stopwords_removal(data,stopwords_list)
else:
return "Enter Words to remove in list/arrays"
elif str(stopwords_list) == "None":
cleandata = built_in_stopwords_removal(data)
else:
cleandata = data
return cleandata