Review published In: International Journal of Corpus Linguistics
Vol. 30:1 (2025) ► pp.112–118
Book review
. Mapping texts: Computational text analysis for the social sciences. Oxford University Press, 2024. 306 pp.
Reviewed by
Available under the Creative Commons Attribution (CC BY) 4.0 license.
For any use beyond this license, please contact the publisher at rights@benjamins.nl.
Open Access publication of this article was funded through a Transformative Agreement with University of Amsterdam.
Published online: 19 June 2025
https://doi.org/10.1075/ijcl.00063.gua
https://doi.org/10.1075/ijcl.00063.gua
References (22)
Apache Software
Foundation. (n.d.). Apache OpenNLP 2.5.1
documentation. Retrieved December 20,
2024, from [URL]
Cranmer, S. J., Desmarais, B. A., & Morgan, J. W. (2020). Inferential
network analysis. Cambridge University Press.
Dicks, B., Flewitt, R., Lancaster, L., & Pahl, K. (2011). Multimodality
and ethnography: Working at the intersection. Qualitative
Research, 11(3), 227–237.
Egbert, J., Biber, D., & Gray, B. (2022). Designing
and evaluating language corpora: A practical framework for corpus
representativeness. Cambridge University Press.
Griswold, W. (1987). The
fabrication of meaning: Literary interpretation in the United States, Great Britain, and the West
Indies. American Journal of
Sociology, 92(5), 1077–1117.
Heaps, H. S. (1978). Information
retrieval: Computational and theoretical aspects. Academic Press, Inc.
Kusner, M. J., Sun, Y., Kolkin, N. I., & Weinberger, K. Q. (2015). From
word embeddings to document distances. In F. Bach & D. Blei (Eds.), ICML’15:
Proceedings of the 32nd international conference on machine
learning (Vol. 371, pp. 957–966). JMLR.org
Lee, M., & Martin, J. L. (2015). Coding,
counting and cultural cartography. American Journal of Cultural
Sociology, 31, 1–33.
Livingstone, S. R., & Russo, F. A. (2018). The
Ryerson Audio-Visual Database of Emotional Speech and Song (RAVDESS): A dynamic, multimodal set of facial and vocal
expressions in North American English. PloS
ONE, 13(5), Article
e0196391.
Luo, H. (2023). Advances
in multimodal learning: Pedagogies, technologies, and analytics. Frontiers in
Psychology, 141, Article 1286092.
Minhas, S., Hoff, P. D., & Ward, M. D. (2019). Inferential
approaches for network analysis: AMEN for latent factor models. Political
Analysis, 27(2), 208–222.
Montani, I., Honnibal, M., Boyd, A., Van Landeghem, S., & Peters, H. (2023). explosion/spaCy (Version
3.7.2) [Computer software]. Zenodo.
R Core Team (2023). R: A language and
environment for statistical computing. R Foundation for Statistical Computing. [URL]
Roberts, M. E., Stewart, B. M., & Tingley, D. (2019). Stm:
An R package for structural topic models. Journal of Statistical
Software, 91(2), 1–40.
Stoltz, D. S., & Taylor, M. A. (2019). Concept
Mover’s Distance: Measuring concept engagement via word embeddings in texts. Journal of
Computational Social
Science, 21, 293–313.
Taylor, M. A., & Stoltz, D. S. (2020). Integrating
semantic directions with concept mover’s distance to measure binary concept engagement. Journal
of Computational Social
Science, 4(1), 231–242.
Wijffels, J. (2023). Udpipe (Version
0.8.11) [R package]. [URL]
