tools for fast reading of docs
Added Support for Python 3. Show latest labeled items so that it is easy for the users to change their decisions.
Apart from changes in FAST2, this version allows user to change their decision on previous labels. Machine suggestions used to efficiently handle human errors or concept drift.
Core update with the techniques for 1. how to start and 2. when to stop
Core algorithm is updated to utilize uncertainty sampling, Weighting, and aggressive undersampling.
Estimate the number of Relevant studies in the pool. Enabling Estimation will slow down the training, but provide the following benefits:
Add UPDATE/REUSE features to allow FASTREAD import old knowledge from previously exported data to bootstrap a new review.
Implement FASTREAD to support primary study selection in systematic literature review.