Natural Language Processing and Network Visualization for Philosophers

Book chapter


Alfano, Mark and Higgins, Andrew. (2019). Natural Language Processing and Network Visualization for Philosophers. In In Fischer, Eugene and Curtis, Mark (Ed.). Methodological Advances in Experimental Philosophy pp. 265 Bloomsbury Publishing plc. https://doi.org/10.5040/9781350069022
AuthorsAlfano, Mark and Higgins, Andrew
EditorsFischer, Eugene and Curtis, Mark
Abstract

Progress in philosophy is difficult to achieve because our methods are evidentially and rhetorically weak (Chalmers 2015). In the last two decades, experimental philosophers have begun to employ the methods of the social sciences to address philosophical questions (e.g. Weinberg et al. 2001; Nichols and Knobe 2007; Schwitzgebel and Cushman 2012). However, the adequacy of these methods has been called into question by repeated failures of replication (Open Science Collaboration 2015). In the next decade, experimental philosophers need to incorporate more robust methods to achieve a multi-modal perspective. In this chapter, we explain and showcase exemplars of a promising methodology for experimental and empirical philosophy: network analysis and visualization.

Keywordsphilosophy; network analysis; visualization; experimental philosophy; empiracal philosophy; natural language processing; social sciences
Page range265
294
Year01 Jan 2019
Book titleMethodological Advances in Experimental Philosophy
PublisherBloomsbury Publishing plc
Place of publicationUnited Kingdom
Edition1st
SeriesAdvances in Experimental Philosophy
ISBN978-1-3500-6902-2
Digital Object Identifier (DOI)https://doi.org/10.5040/9781350069022
Web address (URL)https://www.bloomsburycollections.com/monograph?docid=b-9781350069022
Open accessPublished as non-open access
Research or scholarlyResearch
Publisher's version
License
All rights reserved
File Access Level
Controlled
Output statusPublished
Publication dates
Print2019
Online26 Jun 2019
Publication process dates
Deposited05 Sep 2024
Additional information

Copyright © Mark Alfano . Andrew Higgins . All rights reserved. Further reproduction or distribution is prohibited without prior permission in writing from the publishers.

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