{"title":"Feelings and the Roman house: A sentiment analysis of Pompeian graffiti","authors":"Liisa Jalkanen, Samuli Simelius","doi":"10.1016/j.daach.2025.e00481","DOIUrl":null,"url":null,"abstract":"<div><div>This article introduces a new digital method for studying Roman domestic spaces: sentiment analysis. The first objective is to test how sentiment analysis can be used to study Roman graffiti, while the second is to examine what the results reveal about the functions of the Roman and Pompeian house and people's behavior within it. The article focuses on one house in Pompeii, the <em>Casa delle nozze d'argento</em> (V,2,i), which offers a well-documented context for the purposes of this work. The article combines the study of textual and material sources and introduces new innovative methods for studying life in the ancient world.</div><div>The use of sentiment analysis as a tool makes it possible to identify sentiments via computational methods, where the text is provided with values that define its sentiment polarity. Pompeian graffiti has not been previously studied using this method. Additionally, the article makes use of Space Syntax analysis – a mathematical tool used to calculate the relationships between rooms and spaces – to assess how the results of the sentiment analysis correlate with the visibility of the graffiti and their makers. Such an analysis will provide information on the location of negative, neutral, and positive examples of graffiti in relation to the scale of public and private spaces in the <em>Casa delle nozze d'argento</em>.</div></div>","PeriodicalId":38225,"journal":{"name":"Digital Applications in Archaeology and Cultural Heritage","volume":"40 ","pages":"Article e00481"},"PeriodicalIF":0.0000,"publicationDate":"2026-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Digital Applications in Archaeology and Cultural Heritage","FirstCategoryId":"1085","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S2212054825000839","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"2025/11/24 0:00:00","PubModel":"Epub","JCR":"Q1","JCRName":"Social Sciences","Score":null,"Total":0}
引用次数: 0
Abstract
This article introduces a new digital method for studying Roman domestic spaces: sentiment analysis. The first objective is to test how sentiment analysis can be used to study Roman graffiti, while the second is to examine what the results reveal about the functions of the Roman and Pompeian house and people's behavior within it. The article focuses on one house in Pompeii, the Casa delle nozze d'argento (V,2,i), which offers a well-documented context for the purposes of this work. The article combines the study of textual and material sources and introduces new innovative methods for studying life in the ancient world.
The use of sentiment analysis as a tool makes it possible to identify sentiments via computational methods, where the text is provided with values that define its sentiment polarity. Pompeian graffiti has not been previously studied using this method. Additionally, the article makes use of Space Syntax analysis – a mathematical tool used to calculate the relationships between rooms and spaces – to assess how the results of the sentiment analysis correlate with the visibility of the graffiti and their makers. Such an analysis will provide information on the location of negative, neutral, and positive examples of graffiti in relation to the scale of public and private spaces in the Casa delle nozze d'argento.
本文介绍了一种新的研究罗马家庭空间的数字化方法:情感分析。第一个目标是测试情感分析如何用于研究罗马涂鸦,而第二个目标是检查结果揭示了罗马和庞培房屋的功能以及人们在其中的行为。这篇文章的重点是庞贝的一所房子,Casa delle nozze d'argento (V,2,i),它为这项工作的目的提供了一个有充分记录的背景。本文将文本研究与材料来源研究相结合,介绍了研究古代生活的创新方法。使用情感分析作为工具,可以通过计算方法识别情感,其中文本提供定义其情感极性的值。庞贝的涂鸦以前没有使用这种方法研究过。此外,本文还使用了空间句法分析——一种用于计算房间和空间之间关系的数学工具——来评估情感分析的结果与涂鸦及其制造者的可见性之间的关系。这样的分析将提供与Casa delle nozze d’argento的公共和私人空间规模有关的消极、中性和积极的涂鸦例子的位置信息。