NDLI: Automated classification of congressional legislation

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Automated classification of congressional legislation

Content Provider	ACM Digital Library
Author	Purpura, Stephen Hillard, Dustin
Abstract	For social science researchers, content analysis and classification of United States Congressional legislative activities have been time consuming and costly. The Library of Congress THOMAS system provides detailed information about bills and laws, but its classification system, the Legislative Indexing Vocabulary (LIV), is geared toward information retrieval instead of the pattern or historical trend recognition that social scientists value. The same event (a bill) may be coded with many subjects at the same time, with little indication of its primary emphasis. In addition, because the LIV system has not been applied to other activities, it cannot be used to compare (for example) legislative issue attention to executive, media, or public issue attention.This paper presents the Congressional Bills Project's (www.congressionalbills.org) automated classification system. This system applies a topic spotting classification algorithm to the task of coding legislative activities into one of 226 subtopic areas. The algorithm uses a traditional bag-of-words document representation, an extensive set of human coded examples, and an exhaustive topic coding system developed for use by the Congressional Bills Project and the Policy Agendas Project (www.policyagendas.org). Experimental results demonstrate that the automated system is about as effective as human assessors, but with significant time and cost savings. The paper concludes by discussing challenges to moving the system into operational use.
Starting Page	219
Ending Page	225
Page Count	7
File Format	PDF
DOI	10.1145/1146598.1146660
Language	English
Publisher	Association for Computing Machinery (ACM)
Publisher Date	2006-05-21
Access Restriction	Subscribed
Subject Keyword	Support vector machines Text analysis U.s. congress Institutions Svms Legislative activities
Content Type	Text
Resource Type	Article

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4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
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