This problem is further compounded if someone is trying to measure the frequency of words within a their corpus. A computer would have some difficulty in determining the similarities or non-similarities between these words. "My mom always likes to receive mums on Mother's day."Ī human reading this text would instantly know that "mom" and "mother" are related and "mums" is referring to flowers, so its not related to the formers. Computers also have issues when a corpus has related synonyms within the same text being analyzed. As a noun the word "mum" refer to someone's mother in British English or flowering perennial plants of the genus Chrysanthemum. As an adjective the word means to be quiet or slient. For example, one of the synonyms for "mother" is "mum." The word "mum" can have mutiple meanings. There are several issues with some of the methods, including selecting the wrong synonym based on context. A computer application can be programmed to lookup synonyms using a variery of methods. A thesaurus or synonym dictionary is a general reference for finding synonyms and sometimes the antonyms of a word. Synonym discovery and aggregation with Natural Language Processingįinding a synonym for a specific word is easy for a human to do using a thesaurus. SPECIAL NOTE: This repository was my research that lead to the development of WordHoard, which is a Python package for discovering and aggregating antonyms, synonyms and more.
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