  Here a collection of 1169 abstracts, which corresponds to articles that the
Journal of Marketing Research has published from 2005 to 2014, are analysed
under a novel approach. We apply several statistical methods, such as Principal
Components Analysis and Correspondence Analysis to identify the way Marketing
vocabulary is evolving. Similarly those articles that introduce new vocabulary
are identified and the preferred words by authors are also detected. In order
to provide an easy-to-understand explanation, we provide our results
graphically. A word-cloud with the most frequent words is given first. Secondly
abstracts-words are represented on the factorial plane. Finally one
representation of word-years allows us to detect changes on the vocabulary
through the passing of time.
