compsim

Python library form computing similarity between 2 company names
The implementation uses an algorithm which is a combination of jaccard distance, tfidf score and levenshtein distance

Installation

pip install compsim

Usage

from compsim.company_name_similarity import CompanyNameSimilarity
cm = CompanyNameSimilarity()
cm.match_score(company_1, company_2)

#Example
>>> cm.match_score("Rombus Solutions ltd", "Axia Solutions pvt ltd")
-0.007964495887409403
>>> cm.match_score("Axia Solutions", "Axia Solutions pvt ltd")
0.808220063856011
>>> cm.match_score("Axia Computers", "Axia Solutions pvt ltd")
0.2897981866800011