How to compute jaccard similarity from a pandas dataframe Question: I have a dataframe as follows: the shape of the frame is (1510, 1399). The columns represents products, the rows represents the values (0 or 1) assigned by an user for a given product. How can I can compute a jaccard_similarity_score? I created a placeholder …
What's the fastest way in Python to calculate cosine similarity given sparse matrix data? Question: Given a sparse matrix listing, what’s the best way to calculate the cosine similarity between each of the columns (or rows) in the matrix? I would rather not iterate n-choose-two times. Say the input matrix is: A= [0 1 0 …
Find the similarity metric between two strings Question: How do I get the probability of a string being similar to another string in Python? I want to get a decimal value like 0.9 (meaning 90%) etc. Preferably with standard Python and library. e.g. similar(“Apple”,”Appel”) #would have a high prob. similar(“Apple”,”Mango”) #would have a lower prob. …
Python: Semantic similarity score for Strings Question: Are there any libraries for computing semantic similarity scores for a pair of sentences ? I’m aware of WordNet’s semantic database, and how I can generate the score for 2 words, but I’m looking for libraries that do all pre-processing tasks like port-stemming, stop word removal, etc, on …
Calculate cosine similarity given 2 sentence strings Question: From Python: tf-idf-cosine: to find document similarity , it is possible to calculate document similarity using tf-idf cosine. Without importing external libraries, are that any ways to calculate cosine similarity between 2 strings? s1 = “This is a foo bar sentence .” s2 = “This sentence is …
Figure out if a business name is very similar to another one – Python Question: I’m working with a large database of businesses. I’d like to be able to compare two business names for similarity to see if they possibly might be duplicates. Below is a list of business names that should test as having …
