ANTUSD: A large Chinese sentiment dictionary

Proceedings of the 10th International Conference on Language Resources and Evaluation, LREC 2016

Volumn , Issue , 2016, Pages 2697-2702

  Wang, Shih Ming ^a   Ku, Lun Wei ^a  

^a ACADEMIA SINICA   (Taiwan)

Author keywords

ANTUSD; NTUSD; Opinion dictionary; Sentiment dictionary

Indexed keywords

ANNOTATION WORK; ANTUSD; NEGATIVE ANNOTATIONS; NTUSD; POLARITY CLASSIFICATION; SEMANTIC INFORMATION; SENTIMENT DICTIONARIES; SENTIMENT SCORES;

SEMANTICS;

EID: 85027864979     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (14)

1. Collobert, R., & Weston, J. (2008). A unified architecture for natural language processing: Deep neural networks with multitask learning. Paper presented at the Proceedings of the 25th international conference on Machine learning.
2. Dong, Z., & Dong, Q. (2006). HowNet and the Computation of Meaning: World Scientific.
3. Fan, R.-E., Chang, K.-W., Hsieh, C.-J., Wang, X.-R., & Lin, C.-J. (2008). LIBLINEAR: A library for large linear classification. The Journal of Machine Learning Research, 9, 1871-1874.
4. Faruqui, M., Dodge, J., Jauhar, S. K., Dyer, C., Hovy, E., & Smith, N. A. (2014). Retrofitting word vectors to semantic lexicons. arXiv preprint arXiv:1411.4166.
5. Harris, Z. S. (1954). Distributional structure. Word, 10(2-3), 146-162.
6. Huang, C.-R. (2009). Tagged Chinese Gigaword Version 2.0, LDC2009T14. Linguistic Data Consortium.
7. Huang, T.-H., Ku, L.-W., & Chen, H.-H. (2010). Predicting Morphological Types of Chinese Bi-Character Words by Machine Learning Approaches. Paper presented at the Proceedings of LREC.
8. Huang, T.-H. K., Chen, Y.-N., & Kong, L. (2015). ACBiMA: Advanced Chinese Bi-Character Word Morphological Analyzer. ACL-IJCNLP 2015, 26.
9. Ku, L.-W., Huang, T.-H., & Chen, H.-H. (2009). Using morphological and syntactic structures for Chinese opinion analysis. Paper presented at the Proceedings of the 2009 Conference on Empirical Methods in Natural Language Processing: Volume 3-Volume 3.
10. Ku, L.-W., Huang, T.-H., & Chen, H.-H. (2010). Construction of a Chinese Opinion Treebank. Paper presented at the LREC.
11. Ku, L.-W., Liang, Y.-T., & Chen, H.-H. (2006). Opinion Extraction, Summarization and Tracking in News and Blog Corpora. Paper presented at the AAAI spring symposium: Computational approaches to analyzing weblogs.
12. Ku, L. W., Ho, H. W., & Chen, H. H. (2009). Opinion mining and relationship discovery using CopeOpi opinion analysis system. Journal of the American Society for Information Science and Technology, 60(7), 1486-1503.
13. Mikolov, T., Sutskever, I., Chen, K., Corrado, G. S., & Dean, J. (2013). Distributed representations of words and phrases and their compositionality. Paper presented at the Advances in neural information processing systems.
14. Mnih, A., & Hinton, G. E. (2009). A scalable hierarchical distributed language model. Paper presented at the Advances in neural information processing systems.