1 |
Jang, K. A., S. H. Park, and W. J. Kim, "Automatic Construction of a Negative/positive Corpus and Emotional Classification using the Internet Emotional Sign," Korean Institute of Information Scientists and Engineers, Vol. 42, No. 4(2015), 512-521.
|
2 |
Kang, H. H., S. J. Yoo, and D. H. Han, "Design and Implementation of System for Classifying Review of Product Attribute to Positive/ Negative," Korean Institute of Information Scientists and Engineers, 36(2C), (2009), 1-6.
|
3 |
Kang, H. H., S. J. Yoo, and D. H. Han, "Sentilexicon and improved Naïve Bayes algorithms for sentiment analysis of restaurant reviews," Expert Systems with Applications, Vol. 39, No. 5(2012), 6000-6010.
DOI
|
4 |
Kim, J. O., S. S. Lee, and H. S. Yong, "Automatic Classification Scheme of Opinions Written in Korean," Korean Institute of Information Scientists and Engineers : Database, Vol. 38, No. 6(2011), 423-428.
|
5 |
Kim, K. M. and J. H. Lee, "Sentiment Analysis of Twitter using Lexical Functional Information," Korean Institute of Information Scientists and Engineers, (2014), 734-736.
|
6 |
Kim, S. W. and N. Kim, "A Study on the Effect of Using Sentiment Lexicon in Opinion Classification," Korea Intelligent Information System Society, (2013), 121-128.
|
7 |
Kim, Y. S. and Y. H. Seo, "Journal of Korea Entertainment Industry Association," Korea Entertainment Industry Association, (2013), 206-210.
|
8 |
Kouloumpis, E., T. Wilson, and J. Moore, "Twitter sentiment analysis: The good the bad and the omg!," ICWSM, Vol. 11(2011), 538-541.
|
9 |
Lee, C. S., D. H. Choi, S. S. Kim, and J. W. Kang, "Classification and Analysis of Emotion in Korean Microblog Texts," Korean Institute of Information Scientists and Engineers,: Database, Vol. 40, No. 3(2013), 159-167.
|
10 |
Liu, B., "Sentiment analysis and subjectivity," Handbook of natural language processing, Vol. 2(2010), 627-666.
|
11 |
Mikolov, T., K. Chen, G. Corrado, and J. Dean, "Efficient estimation of word representations in vector space," 2013, arXiv preprint arXiv:1301.3781.
|
12 |
Narayanan, R., B. Liu, and A. Choudhary, "Sentiment analysis of conditional sentences," Proceedings of the 2009 Conference on Empirical Methods in Natural Language Processing, Vol. 1(2009), 180-189.
|
13 |
Ohana, B. and B. Tierney, "Sentiment classification of reviews using SentiWordNet," 9th. IT & T Conference, (2009), 13.
|
14 |
Sadamitsu, K., S. Sekine, and M. Yamamoto, "Sentiment Analysis Based on Probabilistic Models Using Inter-Sentence Information," LREC, (2008).
|
15 |
Saggiona, H., and A. Funk, "Interpreting Senti WordNet for opinion classification," Proceedings of the seventh conference on international language resources and evaluation LREC10, (2010), 1129-1133.
|
16 |
Saif, H., Y. He, and H. Alani, "Alleviating data sparsity for twitter sentiment analysis," CEUR Workshop Proceedings (CEUR-WS. org), (2012), 2-9.
|
17 |
Saif, H., Y. He, and H. Alani, "Semantic sentiment analysis of twitter," The Semantic Web-ISWC 2012, 2012b, 508-524.
|
18 |
Seo, J. H., H. J. Cho, and J. T. Choi, "Design for Opinion Dictionary of Emotion Applying Rules for Antonym of the Korean Grammar," JKIIT, Vol. 13, No. 2( 2015), 109-117.
|
19 |
Seo, J. R. and C. Ko, "Big Data Analysis by Sensitivity Analysis," Journal of The Society of Convergence Knowledge, Vol. 2, No. 1(2014), 15-21.
|
20 |
Song, J. S., S. W. Lee, "Automatic Construction of Positive/Negative Feature-Predicate Dictionary for Polarity Classification of Product Reviews," Korean Institute of Information Scientists and Engineers : Software and Application, Vol. 38, No. 3(2011), 157-168.
|
21 |
Hamouda, A., and M. Rohaim, "Reviews classification using sentiwordnet lexicon," World Congress on Computer Science and Information Technology, 2011.
|
22 |
An, J. K. and H. W. Kim, "Building a Korean Sentiment Dictionary and Applications of Natural Language Processing," Korea Intelligent Information System Society, (2014), 177-182.
|
23 |
Choi, S. J., and O. B. Kwon, "The Study of Developing Korean SentiWordNet for Big Data Analytics - Focusing on Anger Emotion -", The Journal of Society for e-Business Studies, Vol. 19, No. 4(2014), 1-19.
DOI
|
24 |
Go, A., R. Bhayani, and L. Huang, "Twitter sentiment classification using distant supervision", CS224N Project Report, Stanford, 2009, 1-12.
|
25 |
Harris, Zellig S., "Distributional structure," Word, 1954.
|
26 |
Hong, S. R., Y. O. Jeong, and J. H. Lee, "Semi-supervised learning for sentiment analysis in mass social media," Journal of Korean Institute of Intelligent Systems, Vol. 24, No. 5(2014), 482-488.
DOI
|
27 |
Hung, C. and H. K. Lin, "Using objective words in SentiWordNet to improve word-of-mouth sentiment classification," IEEE Intelligent Systems, Vol. 28, No. 2(2013), 47-54.
DOI
|
28 |
Jang, H. J., "Classification System for Emotional Verbs and Adjectives," Korea Society for Information Management, (2001), 29-34.
|