How to use levenshtein distance in text similarity?
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How to use levenshtein distance in text similarity?

How to use levenshtein distance in text similarity?

This recipe helps you use levenshtein distance in text similarity

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Recipe Objective

How to use levenshtein distance in text similarity ?

levenshtein distance it is defined as distance in which less number of characters required to insert, delete or replace in a given string for e.g String 1 to transform it to another string which is String 2.

For e.g.

String A = helo

String B = hello

So in the above example we need to insert one missing character in String A which is l and transform it to String B. The Levenshtein distance for this will be 1 because there is only one edit is needed.

Similarly if:

String A = kelo

String B = hello

So in this the levenshtein distance will be 2, because not only insertion of l have to done but we have to substitute the character k by h.

Step 1 - Import the necessary libraries

import enchant

Step 2 - Define Sample strings

string_A = "helo" string_B = "hello"

Step 3 - Print the result for levenshtein Distance

print("The Levenshtein Distance between String_A and String_B is: ",enchant.utils.levenshtein(string_A, string_B))
The Levenshtein Distance between String_A and String_B is:  1

So from the above we can get an idea about how levenshtein distance works, in this example the distance is 1 because there is only one operation is needed.

Step 4 - Some more examples

string_C = "Hello Jc" string_D= "Hello Jack" print(enchant.utils.levenshtein(string_C, string_D))
2
string_E = "My nam i S" string_F = "My name is Sam" print(enchant.utils.levenshtein(string_E, string_F))
4

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