 Words ranking and Hirsch index for identifying the core of the hapaxes in political textsValerio Ficcadenti, Roy Cerqueti, Marcel Ausloos and Gurjeet Dhesi Journal of Informetrics, 2020, vol. 14, issue 3 Abstract: This paper deals with a quantitative analysis of the content of official political speeches. We study a set of about one thousand talks pronounced by the US Presidents, ranging from Washington to Trump. In particular, we search for the relevance of the rare words, i.e. those said only once in each speech – the so-called hapaxes. We implement a rank-size procedure of Zipf–Mandelbrot type for discussing the hapaxes’ frequencies regularity over the overall set of speeches. Starting from the obtained rank-size law, we define and detect the core of the hapaxes set by means of a procedure based on an Hirsch index variant. We discuss the resulting list of words in the light of the overall US Presidents’ speeches. We further show that this core of hapaxes itself can be well fitted through a Zipf–Mandelbrot law and that contains elements producing deviations at the low ranks between scatter plots and fitted curve – the so-called king and vice-roy effect. Some socio-political insights are derived from the obtained findings about the US Presidents messages. Keywords: Text analysis; H-index; Rank-size law; Hapaxes; US Presidents speeches (search for similar items in EconPapers) Downloads: (external link) Related works: Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text Persistent link: https://EconPapers.repec.org/RePEc:eee:infome:v:14:y:2020:i:3:s1751157719303037 DOI: 10.1016/j.joi.2020.101054 Access Statistics for this article Journal of Informetrics is currently edited by Leo Egghe More articles in Journal of Informetrics from Elsevier |
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