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Reeepeated characters

Back to your sentiment analysis! Your next task is to replace elongated words that appear in the tweets. We define an elongated word as a word that contains a repeating character twice or more times. e.g. "Awesoooome".

Replacing those words is very important since a classifier will treat them as a different term from the source words lowering their frequency.

To find them, you will use capturing groups and reference them back using numbers. E.g \4.

If you want to find a match for Awesoooome. You first need to capture Awes. Then, match o and reference the same character back, and then, me.

The list sentiment_analysis, containing the text of three tweets, and the re module are loaded in your session. You can use print() to view the data in the IPython Shell.

이 연습은 강의의 일부입니다

Regular Expressions in Python

강의 보기

연습 안내

  • Complete the regular expression to match an elongated word as described.
  • Search the elements in sentiment_analysis list to find out if they contain elongated words. Assign the result to match_elongated.
  • Assign the captured group number zero to the variable elongated_word.
  • Print the result contained in the variable elongated_word.

실습형 인터랙티브 연습

이 예제를 이 샘플 코드를 완성하여 풀어보세요.

# Complete the regex to match an elongated word
regex_elongated = r"____(____)____\w*"

for tweet in sentiment_analysis:
	# Find if there is a match in each tweet 
	match_elongated = re.____(____, ____)
    
	if match_elongated:
		# Assign the captured group zero 
		elongated_word = match_elongated.____(____)
        
		# Complete the format method to print the word
		print("Elongated word found: {____}".format(word=____))
	else:
		print("No elongated word found")
코드 편집 및 실행