Integrated Approach to Detect Inconspicuous Contents

Author:

Weber Rosina,Waldstein Ilya,Deshpande Amit,Proctor Jason M.

Publisher

Springer Berlin Heidelberg

Reference12 articles.

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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)

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)

4. Provost, F., Fawcett, T.: Robust Classification for Imprecise Environments. Machine Learning 42(3), 203–231 (2001)

5. Haller, S.: An Introduction to Interactive Discourse Processing from the Perspective of Plan Recognition and Text Planning. Artificial Intelligence Review 13, 259–311 (1999)

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1. A Tool for Digital Education;International Journal of Semantic Computing;2018-12

2. Detection of Illegitimate Emails Using Boosting Algorithm;Lecture Notes in Social Networks;2011

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