A method for verifying a vector-based text classification system.
Journal Descriptor Indexing (JDI) is a vector-based text classification system developed at NLM (National Library of Medicine), originally in Lisp and now as a Java tool. Consequently, a testing suite was developed to verify training set data and results of the JDI tool. A methodology was developed and implemented to compare two sets of JD vectors, resulting in a single index (from 0 - 1) measuring their similarity. This methodology is fast, effective, and accurate.
Lu
Chris J
CJ
Lockheed Martin/MSD, Bethesda, MD, USA.
Humphrey
Susanne M
SM
Browne
Allen C
AC
D000465:Algorithms; D001185:Artificial Intelligence; D016247:Information Storage and Retrieval / Q000379:methods*; D009323:Natural Language Processing; D010363:Pattern Recognition, Automated / Q000379:methods*; D009626:Terminology as Topic; D014481:United States; D018875:Vocabulary, Controlled