Several papers on the analysis of legal data or legal texts or concerning legal communication or decision making or were presented at NDATAD 2013: New Directions in Analyzing Text as Data Workshop 2013 , held 27-28 September at the London School of Economics:
- Michael Z. Gill and Andrew B. Hall: How Judicial Identity Changes The Text Of Legal Rulings
- Valentin Gold, Katharina Holzinger, and Christian Rohrdantz: Towards Automating the Measurement of Deliberative Communication
- Benjamin E. Lauderdale and Tom S. Clark: Scaling Politically Meaningful Dimensions Using Texts and Votes
- Hossein Rahmani and Christine Arnold: PolicyMiner: From Oysters to Pearls
- Douglas R. Rice and Christopher Zorn: Corpus-Based Dictionaries for Sentiment Analysis of Specialized Vocabularies
- John Wilkerson, David Smith, and Nick Stramp: Tracing the Flow of Policy Ideas in Legislatures: A Text Reuse Approach
- Ken Younge: PiCloud: A simple approach to cloud computing
The Twitter hashtag for the conference was #TextasData
Joshua Tucker has a new post about the conference: The rise of the machines in the study of politics: 5 things I learned from studies using #TextAsData .
Filed under: Applications, Conference Announcements, Conference papers, Conference proceedings, Conference reports, Research findings, Slides Tagged: Analysis of patent procedure, Legal data analysis, Legal deliberation, Legal sentiment analysis, Legal text analysis, Legislative deliberation, Legislative information systems, NDATAD, NDATAD 2013, New Directions in Analyzing Text as Data Workshop, New Directions in Analyzing Text as Data Workshop 2013, Parliamentary deliberation, Patent analysis, Patent similarity, Policy diffusion and legal texts, Policy diffusion and legislation, Text analysis of court decisions, Text analysis of judicial decisions, Text analysis of legislation, Text analysis of patents, Text as Data, Text as Data 2013
via Legal Informatics Blog http://legalinformatics.wordpress.com/2013/09/28/papers-on-legal-data-and-text-analysis-text-as-data-2013/
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