Podcast
Questions and Answers
What is the purpose of text normalizing in the context of data analysis?
What is the purpose of text normalizing in the context of data analysis?
- To remove stopwords like 'the' and 'and'
- To remove HTML tags and punctuation from the text
- To add extra data and special characters to the text
- To convert all text to lowercase for consistency (correct)
Which of the following is a part of noise reduction in text cleaning?
Which of the following is a part of noise reduction in text cleaning?
- Converting all text to uppercase
- Removing stopwords like 'the' and 'and'
- Adding more special characters to the text
- Removing extra data like HTML tags and punctuation (correct)
Why is it important to remove stopwords from text data before analysis?
Why is it important to remove stopwords from text data before analysis?
- Stopwords improve the readability of the text
- Stopwords can cause inconsistency in the data (correct)
- Stopwords provide significant analytical data
- Stopwords are used for encryption purposes
Which of the following is NOT a step in text cleaning techniques?
Which of the following is NOT a step in text cleaning techniques?
What is the primary benefit of removing extra data from text during noise reduction?
What is the primary benefit of removing extra data from text during noise reduction?