Chapter 7: Processing Human Language

Activity 19: Predicting Sentiments of Movie Reviews

Solution:

1. Read the IMDB movie review dataset using pandas in Python:

   import pandas as pd

   data = pd.read_csv('../../chapter 7/data/movie_reviews.csv', encoding='latin-1')

2. Convert the tweets to lowercase to reduce the number of unique words:

   data.text = data.text.str.lower()

   Note

   Keep in mind that "Hello" and "hellow" are not the same to a computer.

3. Clean the reviews using RegEx with the clean_str function:

   import re

   def clean_str(string):

       

       string = re.sub(r"https?\://\S+", '', string)

       string = re.sub(r'\<a href', ' ', string)

       string = re.sub(r'&amp;', '', string)

       string = re.sub(r'<br />', ' ', string)

       string = re.sub(r'[_&quot...