Text Comparison

pinkyswear 

To calculate the Jaccard Similarity between two sets of words in Excel, you can use a combination of formulas to extract and compare the words. The Jaccard Similarity is calculated as the intersection of the sets divided by the union of the sets.

Here is a step-by-step guide on how to achieve this:

1. Extract the Terms and Similar Cases: You will first need to extract the terms and similar cases from the cells. You can use Excel's text manipulation functions to do this.

In cell D2 (assuming your data starts in cell A2), you can use the following formula to extract the terms:

=TRIM(MID(A2, FIND("terms:", A2) + 7, FIND("similar_cases:", A2) - FIND("terms:", A2) - 7))

In cell E2, you can extract the similar cases using a similar formula:

=TRIM(MID(A2, FIND("similar_cases:", A2) + 14, LEN(A2) - FIND("similar_cases:", A2) - 13))

Drag these formulas down to apply them to all rows in your dataset.

1. Calculate Jaccard Similarity: In cell F2, you can calculate the Jaccard Similarity between the terms and similar cases using the following formula:

=IF(AND(D2<>"", E2<>""), COUNT(1)/COUNTUNIQUE(FILTERXML("<a><b>"&SUBSTITUTE(D2, ", ", "</b><b>")&"</b></a>", "//b | //b[not(.=preceding::b)]")), 0)

This formula checks if both terms and similar cases are non-empty. If they are, it calculates the Jaccard Similarity. If either of them is empty, it returns 0.

Drag this formula down to apply it to all rows in your dataset.

The above formulas will calculate the Jaccard Similarity for each pair of terms and similar cases in your dataset. If the terms and similar cases are identical, the similarity will be 1. If they have no common words, the similarity will be 0, and values between 0 and 1 represent partial similarity.

The text, steps and functions were created with the help of AI.

My answers are voluntary and without guarantee!

Hope this will help you.