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Filters: Author is Alena Neviarouskaya  [Clear All Filters]
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A. Neviarouskaya, Prendinger, H., and Ishizuka, M., Compositionality Principle in Recognition of Fine-Grained Emotions from Text. 2009.
A. Neviarouskaya, Tsetserukou, D., Prendinger, H., Kawakami, N., Tachi, S., and Ishizuka, M., Emerging System for Affectively Charged Interpersonal Communication. 2009.
A. Neviarouskaya, Prendinger, H., and Ishizuka, M., Recognition of Affect, Judgment, and Appreciation in Text, in 23rd International Conference on Computational Linguistics (COLING'10), Beijing, China, 2010, pp. 806-814.
A. Neviarouskaya, Prendinger, H., and Ishizuka, M., Analysis of affect expressed through the evolving language of online communication, in 12th international conference on Intelligent user interfaces, New York, NY, USA, 2007, pp. 278–281.
A. Neviarouskaya, Prendinger, H., and Ishizuka, M., Recognition of Affect Conveyed by Text Messaging in Online Communication, in Online Communities and Social Computing, vol. 4564, D. Schuler Berlin / Heidelberg: Springer, 2007, pp. 141-150.
A. Neviarouskaya, Prendinger, H., and Ishizuka, M., Textual Affect Sensing for Sociable and Expressive Online Communication, in Affective Computing and Intelligent Interaction, vol. 4738, A. Paiva, Prada, R., and Picard, R. Berlin / Heidelberg: Springer, 2007, pp. 218-229.
A. Neviarouskaya, Prendinger, H., and Ishizuka, M., Affect Analysis Model: novel rule-based approach to affect sensing from text, Natural Language Engineering, vol. 17, no. 1, pp. 95-135, 2011.
A. Neviarouskaya, Prendinger, H., and Ishizuka, M., AM: textual attitude analysis model, in NAACL HLT 2010 Workshop on Computational Approaches to Analysis and Generation of Emotion in Text, Los Angeles, California, 2010, pp. 80–88.
A. Neviarouskaya, Prendinger, H., and Ishizuka, M., Semantically distinct verb classes involved in sentiment analysis, in IADIS International Conference APPLIED COMPUTING 2009, Rome, Italy, 2009.
A. Neviarouskaya, Prendinger, H., and Ishizuka, M., Recognition of Fine-Grained Emotions from Text: An Approach Based on the Compositionality Principle, in Modeling Machine Emotions for Realizing Intelligence, vol. 1, R. J. Howlett, Jain, L. C., Nishida, T., Jain, L. C., and Faucher, C. Berlin Heidelberg: Springer, 2010, pp. 179-207.
A. Neviarouskaya, Compositional Approach for Automatic Recognition of Fine-Grained Affect, Judgment, and Appreciation in Text, University of Tokyo, Tokyo, Japan, 2011.
A. Neviarouskaya and Aono, M., Analyzing Sentiment Word Relations with Affect, Judgment, and Appreciation, in 2nd Workshop on Sentiment Analysis where AI meets Psychology (SAAIP 2012), Mumbai, 2012.
A. Neviarouskaya and Aono, M., Extracting Causes of Emotions from Text, in International Joint Conference on Natural Language Processing, Nagoya, Japan, 2013.
A. Neviarouskaya, Aono, M., Prendinger, H., and Ishizuka, M., Intelligent Interface for Textual Attitude Analysis, ACM Transactions on Intelligent Systems and Technology, vol. 5, no. 3, pp. 48:1–48:20, 2014.
A. Neviarouskaya, Prendinger, H., and Ishizuka, M., Attitude Sensing in Text Based on A Compositional Linguistic Approach, Computational Intelligence, vol. 31, pp. 256–300, 2015.