Mining ethnicity: Discourse-driven topic modelling of immigrant discourses in the USA, 1898–1920

Introduction: The article illustrates the application of a ‘discourse-driven topic modeling’ (DDTM) to the analysis of the corpus ChronicItaly comprising several newspapers in Italian language, appeared in the USA during the time of massive migration towards America between the end of the XIX century and the first two decades of the XX (1898-1920).

The method combines both Text Modelling (™) and the discourse-historical approach (DHA) in order to get a more comprehensive representation of the ethnocultural and linguistic identity of the Italian group of migrants in the historical American context in crucial periods of time like that immediately preceding the eruption and that of the unfolding of World War I.

Assessing

It’s personal, isn’t it? What personalization means for internet research methods – AoIR

Posted on October 11, 2018October 11, 2018
by Maciej Maryl

Introduction: This article assesses the issue of personalisation in internet research, raising important issues of how should we interpret users’ choices and how to account for the potential platform-design influence in your research workflow.

Analysis

The Space of Poetic Meter – Stanford Literary Lab

Posted on July 19, 2018July 22, 2018
by Maciej Maryl

Introduction: This blog post not only presents a technique of measuring poetic meter and using it to plot distances between poets, but it also provides an insight into the theoretical and empirical process leading to those results.

Capture

Encoder l’oral en TEI : démarches, avantages, défis….

Posted on October 3, 2017November 9, 2017
by Delphine Montoliu

Introduction: This conference report (with the conference podcast) outlines the TEI solutions for encoding oral corpus.

Analysis

Um outro jeito de publicar artigos

Posted on September 22, 2017November 9, 2017
by Delfim Leao

Introduction: The post approaches the pre-print publishing model as a science strategy that can benefit especially developing countries, which may face financial difficulties in getting their research published in leading expensive journals.

Analysis

Why are non-data driven representations of data-driven research in the humanities so bad?

Posted on September 20, 2017November 9, 2017
by Maciej Maryl

Introduction: This short post captures the problem of inadequate representation of data-driven criticism by scholars who are reluctant to empirical methods.