Dr. Joshua Tauberer of GovTrack has posted Bill prognosis gets a few improvements, at the GovTrack Blog.
He writes:
…I’m adding three new factors to GovTrack’s analysis: whether the bill was introduced in the first 90 days of the Congress, whether it was introduced in the first year, and whether it was introduced in the last 90 days of the Congress. You can now see that last one in the factors for S. 3637, for example.
The post describes his decision to incorporate a component of the model described in: Yano et al.: Textual Predictors of Bill Survival in Congressional Committees.
For more details please see the complete post.
HT @JoshData
Tags: GovTrack, John D. Wilkerson, Joshua Tauberer, Legislative information systems, New Directions in Analyzing Text as Data, New Directions in Analyzing Text as Data 2012, Noah A. Smith, Prediction in legal informatics, Prediction in legal information systems, Quantitative legal prediction, Statistical analysis of legislative data, Statistical methods in legal informatics, Statistical prediction of bill passage success, Statistical prediction of committee approval of a bill, Tae Yano, Text as Data Conference, Text as Data Conference 2012
