Countering Security Threats Using Natural Language Processing

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Authors
  1. Isabelle, P.
  2. Cherry, C.
  3. Kuhn, R.
  4. Mohammad, S.
Corporate Authors
Defence Research and Development Canada, Centre for Security Science, Ottawa ON (CAN);National Research Council of Canada, Ottawa ONT (CAN)
Abstract
The quantity of data that is available to information analysts has been growing at an exponential rate in the last two decades and will continue to do so in the foreseeable future. At the forefront of that growth are the new social media such as Twitter, Instagram and Facebook. Those vehicles do carry a wealth of information that could be of great value to security analysts, but the challenge is to uncover the small information gems in a huge mass of worthless material. In recent years, Canada has invested substantial amounts of money in research efforts on natural language technologies. The NRC has been highly successful on that front, developing world-class technologies for machine trabnslation, text summarization, information extraction and sentiment emotion analysis. While these technologies are already being used in various application areas, their potential in security analysis remains to be firmly established. This is exactly what this technology demonstration project set out to accomplish. Together with our industrial partners Thales TRT (Quebec city) and MediaMiser (Ottawa), and with the assistance of a professional intelligence service, we have developed a prototype system that can: 1) monitor social media on an ongoing basis, extracting from them huge multilingual collections of documents about interesting topics; 2) translate foreign language documents within such collections; 3) enrich the content of all documents using advanced linguistic analysis such as inform
Keywords
Natural Language Processing
Report Number
DRDC-RDDC-2016-C344 — Contract Report
Date of publication
01 Dec 2016
Number of Pages
69
DSTKIM No
CA044514
CANDIS No
805007
Format(s):
Electronic Document(PDF)

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