So, I am new to using Python and NLTK. I have a file called reviews.csv which consists of comments extracted from amazon. I have tokenized the contents of this csv file and written it to a file called csvfile.csv. Here's the code :
from nltk.tokenize import sent_tokenize, word_tokenize
from nltk.stem import PorterStemmer
import csv #CommaSpaceVariable
from nltk.corpus import stopwords
ps = PorterStemmer()
stop_words = set(stopwords.words("english"))
with open ('reviews.csv') as csvfile:
readCSV = csv.reader(csvfile,delimiter='.')
for lines in readCSV:
word1 = word_tokenize(str(lines))
print(word1)
with open('csvfile.csv','a') as file:
for word in word1:
file.write(word)
file.write('\n')
with open ('csvfile.csv') as csvfile:
readCSV1 = csv.reader(csvfile)
for w in readCSV1:
if w not in stopwords:
print(w)
I am trying to perform stemming on csvfile.csv. But I get this error:
Traceback (most recent call last):<br>
File "/home/aarushi/test.py", line 25, in <module> <br>
if w not in stopwords: <br>
TypeError: argument of type 'WordListCorpusReader' is not iterable
When you did
from nltk.corpus import stopwords
stopwords
is the variable that's pointing to the CorpusReader
object in nltk
.
The actual stopwords (i.e. a list of stopwords) you're looking for is instantiated when you do:
stop_words = set(stopwords.words("english"))
So when checking whether a word in your list of tokens is a stopwords, you should do:
from nltk.corpus import stopwords
stop_words = set(stopwords.words("english"))
for w in tokenized_sent:
if w not in stop_words:
pass # Do something.
To avoid confusion, I usually name the actual list of stopwords as stoplist
:
from nltk.corpus import stopwords
stoplist = set(stopwords.words("english"))
for w in tokenized_sent:
if w not in stoplist:
pass # Do something.
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