The structure of argument: Semantic mapping of US supreme court cases

Conference item


Murtagh, Fionn and Farid, Mohsen 2015. The structure of argument: Semantic mapping of US supreme court cases. Springer. https://doi.org/10.1007/978-3-319-17091-6_34
AuthorsMurtagh, Fionn and Farid, Mohsen
Abstract

We semantically map out the flow of the narrative involved in a United States Supreme Court case. Our objective is both the static analysis of semantics but, more so, the trajectory of argument. This includes consideration of those who are involved, the Justices and the Attorneys. We study therefore the flow of argument. Geometrical (metric, latent semantic) and topological (ultrametric, hierarchical) analyses are used in our analytics.

KeywordsData analytics; Multivariate data analysis; Correspondence analysis; Latent semantic analysis; Hierarchical clustering; Metric and ultrametric mapping
Year2015
PublisherSpringer
Digital Object Identifier (DOI)https://doi.org/10.1007/978-3-319-17091-6_34
Web address (URL)http://hdl.handle.net/10545/621043
hdl:10545/621043
ISBN9783319170909
File
File Access Level
Open
Publication dates03 Apr 2015
Publication process dates
Deposited23 Nov 2016, 14:52
ContributorsUniversity of Derby
Permalink -

https://repository.derby.ac.uk/item/94680/the-structure-of-argument-semantic-mapping-of-us-supreme-court-cases

Download files


File
license.txt
File access level: Open

  • 36
    total views
  • 0
    total downloads
  • 0
    views this month
  • 0
    downloads this month

Export as

Related outputs

Storage aware data management system for Genomics
Shah, Z. and Farid, M. 2024. Storage aware data management system for Genomics. 5th International Conference on Big-data Service and Intelligent Computation. ACM Press. https://doi.org/10.1145/3633624
Neurotechnological solutions for post-traumatic stress disorder: A perspective review and concept proposal
Laugharne, R., Farid, M., James, C., Dutta, A., Mould, C., Molten, N., Laugharne, J. and Shankar, R. 2023. Neurotechnological solutions for post-traumatic stress disorder: A perspective review and concept proposal. Healthcare Technology Letters. 10 (6), pp. 133-138. https://doi.org/10.1049/htl2.12055
Comparative study of the scaling behavior of the Rényi entropy for He-like atoms
Farid, M, Abdel-Hady, A, Nasser, I and Farid, Mohsen 2017. Comparative study of the scaling behavior of the Rényi entropy for He-like atoms. IOP Publishing. https://doi.org/10.1088/1742-6596/869/1/012011
Contextualizing geometric data analysis and related data analytics: A virtual microscope for big data analytics
Farid, Mohsen and Murtagh, Fionn 2017. Contextualizing geometric data analysis and related data analytics: A virtual microscope for big data analytics. Journal of Interdisciplinary Methodologies and Issues in Sciences. https://doi.org/10.18713/JIMIS-010917-3-1
Frontal view gait recognition with fusion of depth features from a time of flight camera
Afendi Tengku Mohd, Kurugollu, Fatih, Crookes, Danny, Bouridane, Ahmed and Farid, Mohsen 2018. Frontal view gait recognition with fusion of depth features from a time of flight camera. IEEE Transactions on Information Forensics and Security. https://doi.org/10.1109/TIFS.2018.2870594
Cloud-based video analytics using convolutional neural networks.
Yaseen, M., Anjum, Ashiq, Farid, Mohsen and Antonopoulos, Nick 2018. Cloud-based video analytics using convolutional neural networks. Software Practice and Experience. https://doi.org/10.1002/spe.2636
Video authentication based on statistical local information
Al-Athamneh, Mohammad, Crookes, Danny and Farid, Mohsen 2016. Video authentication based on statistical local information. IEEE.
Digital video source identification based on green-channel photo response non-uniformity (G-PRNU)
Al-Athamneh, Mohammad, Kurugollu, Fatih, Crookes, Danny and Farid, Mohsen 2016. Digital video source identification based on green-channel photo response non-uniformity (G-PRNU). https://doi.org/10.5121/csit.2016.61105