Machine learning in automated text categorization
ACM Computing Surveys (CSUR)
A model of textual affect sensing using real-world knowledge
Proceedings of the 8th international conference on Intelligent user interfaces
On-Line Handwriting Recognition with Support Vector Machines " A Kernel Approach
IWFHR '02 Proceedings of the Eighth International Workshop on Frontiers in Handwriting Recognition (IWFHR'02)
Text classification using string kernels
The Journal of Machine Learning Research
Chunking with support vector machines
NAACL '01 Proceedings of the second meeting of the North American Chapter of the Association for Computational Linguistics on Language technologies
Japanese Named Entity extraction with redundant morphological analysis
NAACL '03 Proceedings of the 2003 Conference of the North American Chapter of the Association for Computational Linguistics on Human Language Technology - Volume 1
Introduction to the CoNLL-2000 shared task: chunking
ConLL '00 Proceedings of the 2nd workshop on Learning language in logic and the 4th conference on Computational natural language learning - Volume 7
Introduction to the CoNLL-2002 shared task: language-independent named entity recognition
COLING-02 proceedings of the 6th conference on Natural language learning - Volume 20
A new cognition-based chat system for avatar agents in virtual space
VRCAI '08 Proceedings of The 7th ACM SIGGRAPH International Conference on Virtual-Reality Continuum and Its Applications in Industry
Semi-Supervised Learning to Classify Evaluative Expressions from Labeled and Unlabeled Texts
IEICE - Transactions on Information and Systems
Application of semi-supervised learning to evaluative expression classification
CICLing'06 Proceedings of the 7th international conference on Computational Linguistics and Intelligent Text Processing
Experimenting with distant supervision for emotion classification
EACL '12 Proceedings of the 13th Conference of the European Chapter of the Association for Computational Linguistics
Robust kaomoji detection in Twitter
LSM '12 Proceedings of the Second Workshop on Language in Social Media
Distant supervision for emotion classification with discrete binary values
CICLing'13 Proceedings of the 14th international conference on Computational Linguistics and Intelligent Text Processing - Volume 2
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We propose methods for extracting facemarks (emoticons) in text and classifying them into some emotional categories. In text-based communication, facemarks have gained popularity, since they help us understand what writers imply. However, there are two problems in text-based communication using facemarks; the first is the variety of facemarks and the second is lack of good comprehension in using facemarks. These problems are more serious in the areas where 2-byte characters are used, because the 2-byte characters can generate a quite large number of different facemarks. Therefore, we are going to propose methods for extraction and classification of facemarks. Regarding the extraction of facemarks as a chunking task, we automatically annotate a tag to each character in text. In the classification of the extracted facemarks, we apply the dynamic time alignment kernel (DTAK) and the string subsequence kernel (SSK) for scoring in the k-nearest neighbor (k-NN) method and for expanding usual Support Vector Machines (SVMs) to accept sequential data such as facemarks. We empirically show that our methods work well in classification and extraction of facemarks, with appropriate settings of parameters.