Using adversary text to detect adversary phase changes.

Speed, Ann Elizabeth ; Doser, Adele Beatrice ; Warrender, Christina E.

Sandia National Laboratories

关键词: 99 General And Miscellaneous//Mathematics, Computing, And Information Science;    Work;    Wells;    Maps;    Data;   

DOI  :  10.2172/983677
RP-ID  :  SAND2009-3135
RP-ID  :  AC04-94AL85000
RP-ID  :  983677

美国|英语

来源: UNT Digital Library

【 摘 要 】

The purpose of this work was to help develop a research roadmap and small proof ofconcept for addressing key problems and gaps from the perspective of using text analysis methods as a primary tool for detecting when a group is undergoing a phase change. Self- rganizing map (SOM) techniques were used to analyze text data obtained from the tworld-wide web. Statistical studies indicate that it may be possible to predict phase changes, as well as detect whether or not an example of writing can be attributed to a group of interest.