check string similarity python
from difflib import SequenceMatcher
def similar(a, b):
return SequenceMatcher(None, a, b).ratio()
>>> similar("Apple","Appel")
0.8
>>> similar("Apple","Mango")
0.0check string similarity python
from difflib import SequenceMatcher
def similar(a, b):
return SequenceMatcher(None, a, b).ratio()
>>> similar("Apple","Appel")
0.8
>>> similar("Apple","Mango")
0.0sentence similarity python
# sentence_transformer: Python module using Sentence BERT
# check documentation in source link for further details
from sentence_transformers import SentenceTransformer
from sentence_transformers.util import pytorch_cos_sim # cosine silarity
# stsb-roberta-large is one of the possible pre-trained models
model = SentenceTransformer('stsb-roberta-large')
# list of sentences (type: str)
sentences = list(...)
# calculate the embeddings
embeddings = bert_model.encode(sentences)
# example: cosine similarity among first and second sentences
cos_similarity = pytorch_cos_sim(embeddings[0], embeddings[1])Copyright © 2021 Codeinu
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