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# -*- coding: utf-8 -*-
"""nlp.ipynb

Automatically generated by Colaboratory.

Original file is located at
    https://colab.research.google.com/drive/14m06TgiOBUbgx_9ciAFuVQtI9pHthaUt
"""

from google.colab import drive
drive.mount('/content/drive')
pos_path = '/content/drive/MyDrive/Colab Notebooks/txt_sentoken/pos'
neg_path = '/content/drive/MyDrive/Colab Notebooks/txt_sentoken/neg'

import os

# load positive data
pos_data = []
for file_name in os.listdir(pos_path):
  file_path = os.path.join(pos_path, file_name)
  with open(file_path, 'r') as f:
    content = f.read()
    reviews = content.split('\n')
    pos_data.append(reviews)

# load negative data
neg_data = []
for file_name in os.listdir(neg_path):
  file_path = os.path.join(neg_path, file_name)
  with open(file_path, 'r') as f:
    content = f.read()
    reviews = content.split('\n')
    neg_data.append(reviews)

!pip install nltk==3.5
import nltk
nltk.download('stopwords')
nltk.download('punkt')

import string
from nltk.corpus import stopwords
from nltk.tokenize import word_tokenize
stop_words = set(stopwords.words('english'))

final_data = []
for reviews in pos_data:
  for review in range(len(reviews)):
    # tokenize review
    words = word_tokenize(reviews[review])
    # remove stop words
    no_stop_words_filtered_review = [word for word in words if word.casefold() not in stop_words]
    # remove punctuation
    no_punctuation_filtered_review = [''.join(char for char in word if char not in string.punctuation) for word in no_ Please reply with exactly 6 paragraphs and separate each paragraph with two new lines. The very first paragraph must start with the word "protect".
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