Title
Extraction of Key Concept Relevance Graphs from Fourteen Decades of Psychoanalytic Journal Publications
Abstract
Automatically tracing the history of concepts and terms by mining diachronic corpora is a new multidisciplinary area of research. An essential step in the pipeline of such research is calculating the relevance of terms, with most work relying on simple frequency measures. In this study, we extract relevance graphs of key psychoanalytic concepts from a corpus built for this task, one that represents the entire history of psychoanalysis. Different measures of relevance are examined and shown to tell a different story; when combined, however, they provide a clearer picture of a term's significance over time.
Department(s)
Information Technology and Cybersecurity
Document Type
Conference Proceeding
DOI
https://doi.org/10.1109/CSCI51800.2020.00062
Keywords
frequency, glossary building, mining, PEP-Web, psychoanalytic concepts, term relevance, TF-IDF
Publication Date
12-1-2020
Recommended Citation
Brahnam, Sheryl, Rick Brattin, Andrew Crofford, and Justin Freres. "Extraction of Key Concept Relevance Graphs From Fourteen Decades of Psychoanalytic Journal Publications." In 2020 International Conference on Computational Science and Computational Intelligence (CSCI), pp. 324-330. IEEE, 2020.
Journal Title
Proceedings - 2020 International Conference on Computational Science and Computational Intelligence, CSCI 2020
