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Mining Data from the Congressional Record
June 03, 2019 Β· Declared Dead Β· π arXiv.org
"No code URL or promise found in abstract"
Evidence collected by the PWNC Scanner
Authors
Zhengyu Ma, Tianjiao Qi, James Route, Amir Ziai
arXiv ID
1906.00529
Category
cs.IR: Information Retrieval
Cross-listed
cs.CY
Citations
0
Venue
arXiv.org
Last Checked
4 months ago
Abstract
We propose a data storage and analysis method for using the US Congressional record as a policy analysis tool. We use Amazon Web Services and the Solr search engine to store and process Congressional record data from 1789 to the present, and then query Solr to find how frequently language related to tax increases and decreases appears. This frequency data is compared to six economic indicators. Our preliminary results indicate potential relationships between incidence of tax discussion and multiple indicators. We present our data storage and analysis procedures, as well as results from comparisons to all six indicators.
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