Abstract

The paper details in the first place the frequency distributions in the analysis of wishes in words in papal speeches and then compares them with the frequency distributions in the analysis of wishes in words in presidential speeches. The differences detected between both analyses let us infer that words such as truth, love and beauty are more relevant in papal speeches, whereas the ideals of winning, justice and dignity prevail in presidential speeches. Moreover, there are differences between these speeches in terms of the kind of scenario narrated, the spatial concept, the colleagues, etc.

Highlights

  • This paper represents an advance in the development and application of the instruments of the David Liberman algorithm (DLA), especially the computer dictionary to analyze words and frequency distributions

  • We will start by presenting the frequency distribution in the analysis of wishes in words in papal speeches, research which was unpublished until now

  • In the case of the IL, A1 and GPH, the higher values correspond to the presidential speeches, whereas in GPH, O1 and O2 the greater values correspond to papal speeches

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Summary

INTRODUCTION

This paper represents an advance in the development and application of the instruments of the David Liberman algorithm (DLA), especially the computer dictionary to analyze words and frequency distributions. It is important to highlight that the poolability criteria to constitute each network correspond to their semantic value (wishes) Each one of these levels of analysis using the David Liberman algorithm has their own instruments (a chart for the narratives, two charts for the phrase levels and the dictionary to analyze the word network). They all arise from the Freudian theory of wishes as a category system for discourse meaning. We will study papal and presidential acceptance speeches equipped with these instruments

Procedures
Frequency distribution of wishes in words in papal speeches
Findings
Conclusions
Full Text
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