Analyzing Stylistic Variation across Different Political Regimes

12/02/2020
by   Liviu P. Dinu, et al.
0

In this article we propose a stylistic analysis of texts written across two different periods, which differ not only temporally, but politically and culturally: communism and democracy in Romania. We aim to analyze the stylistic variation between texts written during these two periods, and determine at what levels the variation is more apparent (if any): at the stylistic level, at the topic level etc. We take a look at the stylistic profile of these texts comparatively, by performing clustering and classification experiments on the texts, using traditional authorship attribution methods and features. To confirm the stylistic variation is indeed an effect of the change in political and cultural environment, and not merely reflective of a natural change in the author's style with time, we look at various stylistic metrics over time and show that the change in style between the two periods is statistically significant. We also perform an analysis of the variation in topic between the two epochs, to compare with the variation at the style level. These analyses show that texts from the two periods can indeed be distinguished, both from the point of view of style and from that of semantic content (topic).

READ FULL TEXT
POST COMMENT

Comments

There are no comments yet.

Authors

page 1

page 2

page 3

page 4

11/16/2020

Datasets and Models for Authorship Attribution on Italian Personal Writings

Existing research on Authorship Attribution (AA) focuses on texts for wh...
07/11/2017

Modeling the dynamics of domain specific terminology in diachronic corpora

In terminology work, natural language processing, and digital humanities...
11/18/2017

The Cultural Evolution of National Constitutions

We explore how ideas from infectious disease and genetics can be used to...
02/14/2014

Authorship Analysis based on Data Compression

This paper proposes to perform authorship analysis using the Fast Compre...
11/30/2020

A Framework for Authorial Clustering of Shorter Texts in Latent Semantic Spaces

Authorial clustering involves the grouping of documents written by the s...
08/24/2015

Echoes of Persuasion: The Effect of Euphony in Persuasive Communication

While the effect of various lexical, syntactic, semantic and stylistic f...
03/24/2020

Forensic Authorship Analysis of Microblogging Texts Using N-Grams and Stylometric Features

In recent years, messages and text posted on the Internet are used in cr...
This week in AI

Get the week's most popular data science and artificial intelligence research sent straight to your inbox every Saturday.