![]() ![]() ![]() The first Sentence partial_ration score is 100/100 because as there is a Exclamation mark in the second string, but still partially words are same so score comes 100. Print("Lets see the partial ratio for string matching:",fuzz.partial_ratio('Jon is eating', 'Jon is eating !'), '\n') print("Lets see the partial ratio for string matching:",fuzz.partial_ratio('Mark is walking on streets', 'Mark walking streets'),'\n') Lets see the partial ratio for string matching: 100 Lets see the partial ratio for string matching: 80įrom the above we understand about partial_ration using FuzzyWuzzy library, Step 3 - Now we will try with partial ratio The third string match score is 83/100 because in first string all the characters are in lower case but in the second string some of the characters are in upper case and some are in lower case. The second string match score is 100/100 because both the strings are same or matching exactly with each other. The first string match score 91/100 because one of the word is missing in the second string i.e for, Print("Lets see the ratio for string matching:",fuzz.ratio('Fuzzy for String Matching', 'Fuzzy String Matching'), '\n') print("Lets see the ratio for string matching:",fuzz.ratio('This is an NLP Session', 'This is an NLP Session'),'\n') print("Lets see the ratio for string matching:",fuzz.ratio('your learning fuzzywuzzy', 'Your Learning FuzzyWuzzy')) Lets see the ration for string matching: 91 Lets see the ration for string matching: 100 Lets see the ration for string matching: 83 ![]() Step 4 - Token set ratio and token sort ratioįrom fuzzywuzzy import fuzz from fuzzywuzzy import process Step 2 - Lets try Simple ratio usage.Step 3 - Now we will try with partial ratio.Step 1 - Import the necessary libraries. ![]()
0 Comments
Leave a Reply. |
AuthorWrite something about yourself. No need to be fancy, just an overview. ArchivesCategories |