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A data scientist wants to digitize historical hard copies of documents. Which of the following is the best method for this task?
Correct Answer: B
# Optical Character Recognition (OCR) is the process of converting scanned images or hard copy text into machine-encoded text. It is the standard technique for digitizing printed or handwritten content. Why the other options are incorrect: * A: Word2vec is for generating word embeddings from digital text. * C: Latent Semantic Analysis analyzes semantic structure of existing digital documents. * D: Semantic segmentation is used in image processing for pixel-wise classification - not text extraction. Official References: * CompTIA DataX (DY0-001) Official Study Guide - Section 6.3:"OCR converts scanned physical documents into text files that can be searched, analyzed, or stored digitally." * Practical NLP Applications, Chapter 2:"OCR is a prerequisite for turning printed or written material into structured data suitable for text analytics." -
