Lazy approach
You have done some cleaning in your dataset but you are worried that there are sentences encased in parentheses that may cloud your analysis.
Again, a greedy or a lazy quantifier may lead to different results.
For example, if you want to extract a word starting with a and ending with e in the string I like apple pie, you may think that applying the greedy regex a.+e will return apple. However, your match will be apple pie. A way to overcome this is to make it lazy by using ? which will return apple.
The re module and the variable sentiment_analysis are already loaded in your session.
This exercise is part of the course
Regular Expressions in Python
Hands-on interactive exercise
Have a go at this exercise by completing this sample code.
# Write a greedy regex expression to match
sentences_found_greedy = re.____(r"____", ____)
# Print out the result
print(sentences_found_greedy)