Text Similarity Measures

Text similarity is used to discover the most similar texts. It is used to discover similar documents such as finding documents on any search engine such as Google. We can also use text similarity in document recommendations. Some Q&A websites such as Quora and StackOverflow can also use text similarity to find similar questions. Let’s see the text similarity measures. Two types of text similar

Jaccard Similarity

Jaccard Similarity is the ratio of common words to total unique words or we can say the intersection of words to the union of words in both documents. it scores range between 0–1.

Let’s see the formula of Jaccard similarity:

Please check this link also formula

https://www.google.com/search?q=jaccard+similarity&rlz=1C1CHBD_enIN914IN914&sxsrf=ALiCzsZKar3js0r-nbUHXzcZWiNWn3tzSw:1671641442602&source=lnms&tbm=isch&sa=X&ved=2ahUKEwjR7YLTlYv8AhUx3nMBHU6qC6oQ_AUoAXoECAEQAw&biw=1366&bih=625&dpr=1#imgrc=hzaaRB2cKAMp7M

Cosine Similarity

Cosine similarity measures the cosine of the angle between two vectors. Here vectors can be the bag of words, TF-IDF, or Doc2vec. Let’s the formula of Cosine Similarity:

Please check this link also formula

https://www.google.com/search?q=cosine+similarity&rlz=1C1CHBD_enIN914IN914&sxsrf=ALiCzsYov1Q5kXcof1e-Gqm2QPe2SjEnHw:1671641368665&source=lnms&tbm=isch&sa=X&ved=2ahUKEwj4jeKvlYv8AhWx0XMBHbamDOAQ_AUoAXoECAEQAw&biw=1366&bih=625&dpr=1#imgrc=YLb77rrDObQZLM