  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.
