A method for verifying a vector-based text classification system.
نویسندگان
چکیده
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.
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ورودعنوان ژورنال:
- AMIA ... Annual Symposium proceedings. AMIA Symposium
دوره شماره
صفحات -
تاریخ انتشار 2008