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
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.____)