Pilot study for the COST Action "Reassembling the Republic of Letters": language-driven network analysis of letters from the Hartlib's Papers
This is an incremental exploratory study for historians analyzing historical correspondence networks.
The study applied NLP and network analysis to a small sample of 17th-century letters from the Hartlib Papers to identify narrative centrality and relations between entities, but no concrete results or numbers were reported.
The present report summarizes an exploratory study which we carried out in the context of the COST Action IS1310 "Reassembling the Republic of Letters, 1500-1800", and which is relevant to the activities of Working Group 3 "Texts and Topics" and Working Group 2 "People and Networks". In this study we investigated the use of Natural Language Processing (NLP) and Network Text Analysis on a small sample of seventeenth-century letters selected from Hartlib Papers, whose records are in one of the catalogues of Early Modern Letters Online (EMLO) and whose online edition is available on the website of the Humanities Research Institute at the University of Sheffield (http://www.hrionline.ac.uk/hartlib/). We outline the NLP pipeline used to automatically process the texts into a network representation, in order to identify the texts' "narrative centrality", i.e. the most central entities in the texts, and the relations between them.