Commercial databases, search engines, and legal product vendors rely upon a sophisticated set of data algorithms to systematically organize, sort, summarize, and describe large amounts of textual information. Despite the centrality of these systems--and the algorithms upon which they depend--to our working (and personal) lives, the inner-workings of "text analysis" are little understood.
This session provides an accessible introduction to text analysis using textual examples from one of AALL's main periodicals, the Law Library Journal. This session will showcase how to pre-process a corpus of text for analysis, construct topic models to programmatically identify common themes, and analyze text sentiment. Attendees will also discuss some limitations of modern text analysis techniques.