Integrated Approach to Detect Inconspicuous Contents
This paper describes an integrated approach for detecting inconspicuous contents in text. Inconspicuous contents can be an opinion or goal that may be disguised in some way to mislead automated methods but keeps a clear message for humans (e.g., terrorist sites). Our methodology hypothesizes that patterns that convey inconspicuous contents can be extracted, represented, generalized, and matched in unknown text. The proposed approach is meant to complement data-intensive methods (e.g. clustering). Data-intensive methods are fast but are susceptible to variations in frequency, do not discern meaning, and require a large corpus for training. Our approach relies on manual engineering for natural language interpretation and pattern extraction using no more than ten examples, but is sufficiently fast to complement a real-time application.
KeywordsTrue Positive Natural Language Processing Training Instance Training Corpus Cosmetic Procedure
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- 1.Elovici, Y., Kandel, A., Last, M., Shapira, B., Zaafrany, O.: Using Data Mining Techniques for Detecting Terror-Related Activities on the Web. Journal of Information Warfare 3(1), 17–29 (2004)Google Scholar
- 2.Cohen, W.M., Carvalho, V.R., Mitchell, T.M.: Learning to Classify Email into Speech Acts. In: Lin, D., Wu, D. (eds.) Proc. of the 2004 Conference on Empirical Methods in Natural Language Processing, pp. 309–316 (2004)Google Scholar
- 3.Yi, J., Nasukawa, T., Bunescu, R., Niblack, W.: Sentiment Analyzer: Extracting Sentiments about a Given Topic using Natural Language Processing Techniques. In: Proc. of the Third IEEE International Conference on Data Mining. IEEE Computer Society, Los Alamitos (2003)Google Scholar
- 9.Ashley, K.D.: Modeling Legal Argument: Reasoning with Cases and Hypotheticals. A Bradford book. The MIT Press, Cambridge (1990)Google Scholar
- 11.Brüninghaus, S., Ashley, K.D.: Reasoning with Textual Cases. In: Munoz, H., Ricci, F. (eds.) Case-Based Reasoning Research and Applications. LNCS (LNAI). Springer, Berlin (2005)Google Scholar