Detecting the sentiment of Tale of Two Cities

In the video we saw that one type of algorithms for detecting the sentiment are based on a lexicon of predefined words and their corresponding polarity score. Your task in this exercise is to detect the sentiment, including polarity and subjectivity of a given string using such a rule-based approach and the textblob library in Python.

You will work with the two_cities string. It contains the first sentence of Dickens's A Tale of Two Cities novel. Feel free to explore it in the Shell.

This exercise is part of the course

Sentiment Analysis in Python

View Course

Exercise instructions

Create a text blob object from the two_cities string.
Print out the polarity and subjectivity.

Hands-on interactive exercise

Have a go at this exercise by completing this sample code.

# Import the required packages
from textblob import TextBlob

# Create a textblob object  
blob_two_cities = ____(two_cities)

# Print out the sentiment 
print(blob_two_cities.____)

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