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.
Deze oefening maakt deel uit van de cursus
Regular Expressions in Python
Praktische interactieve oefening
Probeer deze oefening eens door deze voorbeeldcode in te vullen.
# Write a greedy regex expression to match
sentences_found_greedy = re.____(r"____", ____)
# Print out the result
print(sentences_found_greedy)