№ files_lp_4_process_1_40244
Year: 2016
Region / City: Berkeley, CA
Topic: Legal discovery, topic modeling, Spark, LDA
Document Type: Research Paper
Institution: School of Information, University of California, Berkeley
Author: Ryan Chamberlain, Arthur Mak, James Route, Sayantan Satpati
Target Audience: Legal professionals, data scientists, researchers in legal technology
Period of Application: 2016 onwards
Approval Date: Not specified
Modification Date: Not specified
Keywords: Topic modeling, Spark, LDA, discovery
Context: The document is a research paper that discusses the use of Latent Dirichlet Allocation (LDA) and Spark in legal discovery processes.
Price: 8 / 10 USD
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