[Solved] You have two documents represented as sets of words: Doc1 = {'apple', 'banana', 'cherry', 'date'} and Doc2 =... How would you use Jaccard similarity to find how similar these documents are? | NLP

NLP - Text Similarity and Search

You have two documents represented as sets of words: Doc1 = {'apple', 'banana', 'cherry', 'date'} and Doc2 = {'banana', 'date', 'fig', 'grape'}. How would you use Jaccard similarity to find how similar these documents are?

AMultiply the number of common words by the total words in Doc2

BCount the total words in Doc1 only

CSubtract the number of unique words in Doc2 from Doc1

DCalculate the ratio of common words to total unique words in both documents

Step-by-Step Solution

Solution:

Step 1: Understand Jaccard similarity for documents
It measures similarity by dividing the number of common words by the total unique words in both documents.
Step 2: Apply to given sets
Common words are {'banana', 'date'}, total unique words are {'apple', 'banana', 'cherry', 'date', 'fig', 'grape'}.
Final Answer:
Calculate the ratio of common words to total unique words in both documents -> Option D
Quick Check:
Jaccard similarity = common / total unique words [OK]

Quick Trick: Similarity = common words ÷ total unique words [OK]

Common Mistakes:

MISTAKES

Ignoring union of words
Using only one document's words
Subtracting counts incorrectly
Multiplying counts instead of dividing

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How would you use Jaccard similarity to find how similar these documents are?

Step 1: Understand Jaccard similarity for documents

Step 2: Apply to given sets

Final Answer:

Quick Check:

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