Journal of Intelligent Information Systems
Text Categorization with Suport Vector Machines: Learning with Many Relevant Features
ECML '98 Proceedings of the 10th European Conference on Machine Learning
Support Vector Machines Based on a Semantic Kernel for Text Categorization
IJCNN '00 Proceedings of the IEEE-INNS-ENNS International Joint Conference on Neural Networks (IJCNN'00)-Volume 5 - Volume 5
Text classification using string kernels
The Journal of Machine Learning Research
Kernel Methods for Pattern Analysis
Kernel Methods for Pattern Analysis
COLING '98 Proceedings of the 17th international conference on Computational linguistics - Volume 1
Accurate unlexicalized parsing
ACL '03 Proceedings of the 41st Annual Meeting on Association for Computational Linguistics - Volume 1
Extracting key-substring-group features for text classification
Proceedings of the 12th ACM SIGKDD international conference on Knowledge discovery and data mining
Semantic annotation of frequent patterns
ACM Transactions on Knowledge Discovery from Data (TKDD)
Information retrieval on Turkish texts
Journal of the American Society for Information Science and Technology
Syntactic and semantic kernels for short text pair categorization
EACL '09 Proceedings of the 12th Conference of the European Chapter of the Association for Computational Linguistics
Combined syntactic and semantic Kernels for text classification
ECIR'07 Proceedings of the 29th European conference on IR research
Short text classification in twitter to improve information filtering
Proceedings of the 33rd international ACM SIGIR conference on Research and development in information retrieval
Research on Short Text Classification Algorithm Based on Statistics and Rules
ISECS '10 Proceedings of the 2010 Third International Symposium on Electronic Commerce and Security
LIBSVM: A library for support vector machines
ACM Transactions on Intelligent Systems and Technology (TIST)
A semantic term weighting scheme for text categorization
Expert Systems with Applications: An International Journal
Expert Systems with Applications: An International Journal
Mining sentiments in SMS texts for teaching evaluation
Expert Systems with Applications: An International Journal
CLEF-2005 CL-SR at maryland: document and query expansion using side collections and thesauri
CLEF'05 Proceedings of the 6th international conference on Cross-Language Evalution Forum: accessing Multilingual Information Repositories
Experiments with SVM to classify opinions in different domains
Expert Systems with Applications: An International Journal
Matching Attributes across Overlapping Heterogeneous Data Sources Using Mutual Information
Journal of Database Management
| Hi-index | 12.05 |
Short-text classification is increasingly used in a wide range of applications. However, it still remains a challenging problem due to the insufficient nature of word occurrences in short-text documents, although some recently developed methods which exploit syntactic or semantic information have enhanced performance in short-text classification. The language-dependency problem, however, caused by the heavy use of grammatical tags and lexical databases, is considered the major drawback of the previous methods when they are applied to applications in diverse languages. In this article, we propose a novel kernel, called language independent semantic (LIS) kernel, which is able to effectively compute the similarity between short-text documents without using grammatical tags and lexical databases. From the experiment results on English and Korean datasets, it is shown that the LIS kernel has better performance than several existing kernels.