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Multiple Choice

Which term refers to removing HTML and web-scraped data and expanding contractions?

Cleaning is about preparing raw text by removing noise and irrelevant parts and making the data suitable for analysis. Stripping HTML tags from web data eliminates markup that isn’t useful for text processing, and removing extraneous or junk content from web-scraped data reduces noise. Expanding contractions is a common step in this preparation to standardize text forms so downstream steps can operate more consistently. While tokenization, normalization, and stemming are parts of the processing pipeline, they don’t by themselves cover the broad cleanup of removing HTML and noise or the broad standardization step that contraction expansion represents.

Cleaning is about preparing raw text by removing noise and irrelevant parts and making the data suitable for analysis. Stripping HTML tags from web data eliminates markup that isn’t useful for text processing, and removing extraneous or junk content from web-scraped data reduces noise. Expanding contractions is a common step in this preparation to standardize text forms so downstream steps can operate more consistently. While tokenization, normalization, and stemming are parts of the processing pipeline, they don’t by themselves cover the broad cleanup of removing HTML and noise or the broad standardization step that contraction expansion represents.