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CompTIA DY0-001 Exam - Topic 2 Question 17 Discussion

A data scientist wants to digitize historical hard copies of documents. Which of the following is the best method for this task?
B) Optical character recognition
A) Word2vec
C) Latent semantic analysis
D) Semantic segmentation

CompTIA DY0-001 Exam - Topic 2 Question 17 Discussion

Actual exam question for CompTIA's DY0-001 exam
Question #: 17
Topic #: 2
[All DY0-001 Questions]

A data scientist wants to digitize historical hard copies of documents. Which of the following is the best method for this task?

Show Suggested Answer Hide Answer
Suggested Answer: B

OCR converts scanned images of text into machinereadable characters, making it the appropriate tool for digitizing printed or handwritten historical documents.


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Louis
4 hours ago
Definitely B) Optical character recognition! It's the go-to for digitizing text.
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Lakeesha
5 days ago
Semantic segmentation sounds fancy, but I think it’s not really for this task, right?
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Maile
10 days ago
Not sure if OCR is foolproof. What if the documents are super old and faded?
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Rana
16 days ago
Wait, I thought Word2vec was for understanding text, not digitizing it?
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Genevieve
2 months ago
I agree, OCR is the best choice here. Makes sense!
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Veronique
2 months ago
Definitely B) Optical character recognition. It's the go-to for digitizing text!
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Royce
3 months ago
Semantic segmentation sounds like it relates to images, but I can't recall how it would apply to digitizing documents.
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Gayla
3 months ago
I feel like Latent Semantic Analysis could be relevant, but it seems more focused on understanding the meaning of text rather than converting it from hard copies.
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Raul
3 months ago
I remember practicing a similar question, and I think Word2vec is more about text representation rather than digitizing.
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Lavonne
3 months ago
I think the best method for digitizing documents is probably Optical Character Recognition, but I'm not entirely sure.
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