Journal of Engineering and Applied Sciences

Year: 2017
Volume: 12
Issue: 13
Page No. 3534 - 3540

Enhanced Feature for Short Document Classification

Authors : Ali Abdulkadhim Hasan, Sabrina Tiun, Maryati Mohd Yusof, Umi Asma` Mokhtar and Dian Indrayani Jambari

References

Bouaziz, A., C. Dartigues-Pallez, C.D.C. Pereira, F. Precioso and P. Lloret, 2014. Short text classification using semantic random forest. Proceedings of the 16th International Conference on Data Warehousing and Knowledge Discovery (DaWaK 2014), September 2-4, 2014, Springer, Munich, Germany, pp: 288-299.

Chen, M., X. Jin and D. Shen, 2011. Short text classification improved by learning multi-granularity topics. Proceedings of the 22nd International Joint Conference on Artificial Intellig, July 16-22, 2011, AAAI Press, California, USA., pp: 1776-1781.

Howlett, R.J. and L.C. Jain, 2005. Knowledge Based Intelligent Information and Engineering Systems. Springer, Berlin, Germany,.

Kalchbrenner, N., E. Grefenstette and P. Blunsom, 2014. A convolutional neural network for modelling sentences. Master Thesis, Department of Computer Science, University of Oxford, Oxford, England.

Li, L. and S. Qu, 2013. Short text classification based on improved ITC. J. Comput. Commun., 1: 22-27.
Direct Link  |  

Liu, Z., W. Yu, W. Chen, S. Wang and F. Wu, 2010. Short text feature selection for micro-blog mining. Proceedings of the IEEE 2010 International Conference on Computational Intelligence and Software Engineering (CISE), December 10-12, 2010, IEEE, Wuhan, China, ISBN:978-1-4244-5391-7, pp: 1-4.

Mahajan, A., S. Jat and S. Roy, 2015. Feature selection for short text classification using wavelet packet transform. Proceedings of the 19th Conference on Computational Language Learning, July 30-31, 2015, Association for Computational Linguistics, Beijing, China, pp: 321-326.

Meng, L., R. Huang and J. Gu, 2013. A review of semantic similarity measures in wordnet. Intl. J. Hybrid Inf. Technol., 6: 1-12.
Direct Link  |  

Miller, G.A., 1995. WordNet: A lexical database for English. Commun. ACM, 38: 39-41.
CrossRef  |  Direct Link  |  

Patra, B.G., A. Kundu, D. Das and S. Bandyopadhyay, 2012. Classification of interviews a case study on cancer patients. Proceedings of 2nd Workshop on Sentiment Analysis where AI meets Psychology (COLING-2012), December 15, 2012, IIT Bombay, Mumbai, India, pp: 27-36.

Phan, X.H., L.M. Nguyen and S. Horiguchi, 2008. Learning to classify short and sparse text and web with hidden topics from large scale data collections. Proceedings of the 17th International Conference on World Wide Web, April 21-25, 2008, ACM, Beijing, China, ISBN:978-1-60558-085-2, pp: 91-100.

Saif, H., M. Fernandez, Y. He and H. Alani, 2014. On stopwords, filtering and data sparsity for sentiment analysis of twitter. Proceedings of the 9th International Conference on Language Resources and Evaluation (LREC 2014) Vol. 5, May 26-31, 2014, Curran Associates, Inc., Reykjavik, Iceland, ISBN:978-1-63266-621-5, pp: 1610-1617.

Sun, A., 2012. Short text classification using very few words. Proceedings of the 35th International ACM Sigir Conference on Research and Development in Information Retrieval, August 12-16, 2012, ACM, New York, USA., ISBN: 978-1-4503-1472-5, pp: 1145-1146.

Tang, J., X. Wang, H. Gao, X. Hu and H. Liu, 2012. Enriching short text representation in microblog for clustering. Front. Comput. Sci. China, 6: 88-101.
Direct Link  |  

Wang, B.K., Y.F. Huang, W.X. Yang and X. Li, 2012. Short text classification based on strong feature thesaurus. J. Zhejiang Univ. Sci. C., 13: 649-659.
Direct Link  |  

Wang, L.H., 2014. An Improved Method of Short Text Feature Extraction Based on Words Co-Occurrence. In: Applied Mechanics and Materials, Yarlagadda, P., C. Seung-Bok and K. Yun-Hae (Eds.). Trans Tech Publications, Switzerland, pp: 842-845.

Xu, J., W. Peng, T. Guanhua, X. Bo, Z. Jun and W. Fangyuan et al., 2015. Short text clustering via convolutional neural networks. Proceedings of the Conference on North American Chapter of the Association for Computational Linguistics: Human Language Technologies, May 31-June 5, 2015, IBM Watson, Denver, Colorado, USA., ISBN:978-1-941643-49-5, pp: 1-54.

Yin, C., J. Xiang, H. Zhang, Z. Yin and J. Wang, 2015. Short text classification algorithm based on semi-supervised learning and SVM. Intl. J. Multimedia Ubiquitous Eng., 10: 195-206.
Direct Link  |  

Zareapoor, M. and K.R. Seeja, 2015. Feature extraction or feature selection for text classification: A case study on phishing email detection. Intl. J. Inf. Eng. Electron. Bus., 7: 60-65.
Direct Link  |  

Zheng, C., D.K. Xiong and Q.Q. Liu, 2014. The short text classification method based on CHI feature selection and LDA topic model. Comput. Knowl. Technol., 14: 3182-3185.
Direct Link  |  

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