A joint text mining-rank size investigation of the rhetoric structures of the US Presidents’ speeches
作者：
Highlights：
• We use a text mining procedure for the analysis of political speeches.
• We employ a rank-size analysis to explore the rethoric structure of the speeches.
• We investigate a large set of US Presidents talks, from Washington to Trump.
• We rank the tokens on the basis of relative and absolute words frequencies.
• Talks regularities are found and discussed under a political-linguistic viewpoint.
摘要
•We use a text mining procedure for the analysis of political speeches.•We employ a rank-size analysis to explore the rethoric structure of the speeches.•We investigate a large set of US Presidents talks, from Washington to Trump.•We rank the tokens on the basis of relative and absolute words frequencies.•Talks regularities are found and discussed under a political-linguistic viewpoint.
论文关键词：Text mining,Natural Language Processing,Politics,Rank-size laws
论文评审过程：Received 19 August 2018, Revised 27 December 2018, Accepted 28 December 2018, Available online 5 January 2019, Version of Record 18 January 2019.
论文官网地址：https://doi.org/10.1016/j.eswa.2018.12.049
