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Here a collection of 1169 abstracts, which corresponds to articles that theJournal of Marketing Research has published from 2005 to 2014, are analysedunder a novel approach. We apply several statistical methods, such as PrincipalComponents Analysis and Correspondence Analysis to identify the way Marketingvocabulary is evolving. Similarly those articles that introduce new vocabularyare identified and the preferred words by authors are also detected. In orderto provide an easy-to-understand explanation, we provide our resultsgraphically. A word-cloud with the most frequent words is given first. Secondlyabstracts-words are represented on the factorial plane. Finally onerepresentation of word-years allows us to detect changes on the vocabularythrough the passing of time.

How marketing vocabulary was evolving from 2005 to 2014? An illustrative application of statistical methods on text mining