8. Sentiment Analysis

Activity 8.01: Tweet Sentiment Analysis Using the textblob library

Solution

To perform sentiment analysis on the given set of tweets related to airlines, follow these steps:

1. Open a Jupyter Notebook.
2. Insert a new cell and add the following code to import the necessary libraries:

   import pandas as pd
   from textblob import TextBlob
   import re

3. Since we are displaying the text in the notebook, we want to increase the display width for our DataFrame. Insert a new cell and add the following code to implement this:

   pd.set_option('display.max_colwidth', 240)

4. Now, load the airline-tweets.csv dataset. We will read this CSV file using pandas' read_csv() function. Insert a new cell and add the following code to implement this:

   tweets = pd.read_csv('data/airline-tweets.csv')

5. Insert a new cell and add the following code to view the first 10 records of the DataFrame:

   tweets.head()

   The code generates the following output:

   Figure 8...