Omit pronoun/common words when searching in Python
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I have a python program to count most appearing words in a file. Now I want to omit most common words from the file.
I have written 2 program for this. How can combine them or call internally?
--Snippet of code
def order_bag_of_words(bag_of_words, desc=False):
words = [(word, cnt) for word, cnt in bag_of_words.items()]
return sorted(words, key=lambda x: x[1], reverse=desc)
-- snippet of stop words
from nltk.corpus import stopwords
from nltk.tokenize import wordpunct_tokenize
stop_words = set(stopwords.words('english')) # creating a set makes the searching faster
print (stop_words)
python
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$begingroup$
I have a python program to count most appearing words in a file. Now I want to omit most common words from the file.
I have written 2 program for this. How can combine them or call internally?
--Snippet of code
def order_bag_of_words(bag_of_words, desc=False):
words = [(word, cnt) for word, cnt in bag_of_words.items()]
return sorted(words, key=lambda x: x[1], reverse=desc)
-- snippet of stop words
from nltk.corpus import stopwords
from nltk.tokenize import wordpunct_tokenize
stop_words = set(stopwords.words('english')) # creating a set makes the searching faster
print (stop_words)
python
New contributor
$endgroup$
add a comment |
$begingroup$
I have a python program to count most appearing words in a file. Now I want to omit most common words from the file.
I have written 2 program for this. How can combine them or call internally?
--Snippet of code
def order_bag_of_words(bag_of_words, desc=False):
words = [(word, cnt) for word, cnt in bag_of_words.items()]
return sorted(words, key=lambda x: x[1], reverse=desc)
-- snippet of stop words
from nltk.corpus import stopwords
from nltk.tokenize import wordpunct_tokenize
stop_words = set(stopwords.words('english')) # creating a set makes the searching faster
print (stop_words)
python
New contributor
$endgroup$
I have a python program to count most appearing words in a file. Now I want to omit most common words from the file.
I have written 2 program for this. How can combine them or call internally?
--Snippet of code
def order_bag_of_words(bag_of_words, desc=False):
words = [(word, cnt) for word, cnt in bag_of_words.items()]
return sorted(words, key=lambda x: x[1], reverse=desc)
-- snippet of stop words
from nltk.corpus import stopwords
from nltk.tokenize import wordpunct_tokenize
stop_words = set(stopwords.words('english')) # creating a set makes the searching faster
print (stop_words)
python
python
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fabkhushfabkhush
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fabkhush is a new contributor. Be nice, and check out our Code of Conduct.
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