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Improvement in Semantic Address Matching using Natural Language Processing
April 19, 2024, 4:47 a.m. | Vansh Gupta, Mohit Gupta, Jai Garg, Nitesh Garg
cs.CL updates on arXiv.org arxiv.org
Abstract: Address matching is an important task for many businesses especially delivery and take out companies which help them to take out a certain address from their data warehouse. Existing solution uses similarity of strings, and edit distance algorithms to find out the similar addresses from the address database, but these algorithms could not work effectively with redundant, unstructured, or incomplete address data. This paper discuss semantic Address matching technique, by which we can find out …
abstract algorithms arxiv businesses companies cs.cl data data warehouse delivery edit improvement language language processing natural natural language natural language processing processing semantic solution strings them type warehouse
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