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>>> from nltk.tokenize import word_tokenize | |
>>> text_data = "Life is what happens when you're busy making other plans." | |
>>> duplicate_data = "what happens when you're busy" | |
>>> original_tokens = word_tokenize(text_data) | |
>>> duplicate_tokens = word_tokenize(duplicate_data) | |
>>> # Convert all the characters to lower case because this method is case sensitive. | |
>>> original_tokens = [token.lower() for token in original_tokens] | |
>>> duplicate_tokens = [token.lower() for token in duplicate_tokens] | |
>>> original_trigrams = [] | |
>>> for i in range(len(original_tokens) - 2): | |
... t = (original_tokens[i], original_tokens[i + 1], original_tokens[i + 2]) | |
... original_trigrams.append(t) | |
... | |
>>> # We will split an original sentence into a group of 3 keywords(Trigram) and then compare it with a substring group of 3 keywords. | |
>>> original_trigrams | |
[('life', 'is', 'what'), ('is', 'what', 'happens'), ('what', 'happens', 'when'), ('happens', 'when', 'you'), ('when', 'you', "'re"), ('you', "'re", 'busy'), ("'re", 'busy', 'making'), ('busy', 'making', 'other'), ('making', 'other', 'plans'), ('other', 'plans', '.')] | |
>>> s = 0 | |
>>> duplicate_trigrams = [] | |
>>> for i in range(len(duplicate_tokens) - 2): | |
... t = (duplicate_tokens[i], duplicate_tokens[i + 1], duplicate_tokens[i + 2]) | |
... duplicate_trigrams.append(t) | |
... if t in original_trigrams: | |
... s += 1 | |
... | |
>>> duplicate_trigrams | |
[('what', 'happens', 'when'), ('happens', 'when', 'you'), ('when', 'you', "'re"), ('you', "'re", 'busy')] | |
>>> jaccord = s / (len(original_trigrams) + len(duplicate_trigrams)) | |
>>> jaccord_coeff = round(jaccord,2) | |
>>> print("Jaccord coefficient are :",jaccord_coeff) | |
Jaccord coefficient are : 0.29 |
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