References
- Gyoung-Ho Lee and Kong Joo Lee, "Design of a Reputation System for Twitter," Proceedings of the 24th Annual Conference on Human and Cognitive Language Technology, pp.62-66, 2012.
- Johan Bollen, Huina Mao, and Xiao-Jun Zeng, "Twitter mood predicts the stock market," Journal of Computational Science, Vol.2, No.1, pp.1-8, 2011. https://doi.org/10.1016/j.jocs.2010.12.007
- Sitaram Asur and Bernardo A. Huberman, "Predicting the Future With Social Media," Proceedings of the 2010 IEEE/WIC/ACM International Conference on Web Intelligence and Intelligent Agent Technology, Vol.1, pp.492-499, 2010.
- Gyoung-Ho Lee and Kong Joo Lee, "Twitter Sentiment Analysis for the Recent Trend Extracted from the Newspaper Article," The KIPS Transactions Part B, Vol.2B No.10, pp.731-738, 2013
- Richard Socher, Alex Perelygin, Jean Y Wu, Jason Chuang, Christopher D Manning, Andrew Y Ng, and Christopher Potts Potts, "Recursive Deep Models for Semantic Compositionality Over a Sentiment Treebank," Proceedings of Conference on Empirical Methods on Natural Language Processing, 2013.
- R. Feldman, "Techniques and applications for sentiment analysis," Communications of the ACM, Vol.56, No.4, pp.82-89, 2013. https://doi.org/10.1145/2436256.2436274
- Kong Joo Lee, "Compositional rules of Korean auxiliary predicates for sentiment analysis," Journal of the Korean Society of Marine Engineering, Vol.37, No.3, pp.291-299, 2013. https://doi.org/10.5916/jkosme.2013.37.3.291
- Bing Liu, Minqing Hu, and Junsheng Cheng, "Opinion Observer: Analyzing and Comparing Opinions on the Web," Proceedings of the 14th International World Wide Web Conference, pp.342-451, 2005.
- Ana-Maria Popescu and Oren Etzioni, "Extracting Product Features and Opinions from Reviews," Proceedings of Conference on Empirical Methods on Natural Language Processing, pp.339-346, 2005.
- Brendan O'Connor, Ramnath Balasubramanyan, Bryan R. Routledge, and Noah A. Smith, "From Tweets to Polls: Linking Text Sentiment to Public Opinion Time Series," Proceedings of the Fourth International AAAI Conference on Weblogs and Social Media, pp.122-129, 2010.
- Andrea Esuli and Fabrizio Sebastiani, "SENTIWORDNET: A publicly available lexical resource for opinion mining," in Proceedings of the 5th Conference on Language Resources and Evaluation (LREC '06), pp.417-422, 2006.
- Woo Chul Lee, Hyun Ah Lee, and Kong Joo Lee, "Product Evaluation Summarization Through Linguistic Analysis of Product Reviews," The KIPS Transactions Part B, Vol.17B No.1, pp.93-98, 2010. https://doi.org/10.3745/KIPSTB.2010.17B.1.093
- P. D. Turney, "Thumbs up or thumbs down? Semantic orientation applied to unsupervised classification of reviews," Proceedings of the 40th Annual Meeting of the Association for Computational Linguistics (ACL '02), pp.417-424, 2002.
- Johan Bollen, Huina Mao, and Xiao-Jun Zeng, "Twitter mood predicts the stock market," Journal of Computational Science, Vol.2, No.1, pp.1-8, 2011. https://doi.org/10.1016/j.jocs.2010.12.007
- Alexander Pak and Patrick Paroubek, "Twitter as a Corpus for Sentiment Analysis and Opinion Mining," Proceedings of the Seventh Conference on International Language Resources and Evaluation (LREC '10), pp.1320-1326, 2010.
- Alec Go, Richa Bhayani, and Lei Huang, "Twitter Sentiment Classification using Distant Supervision," Technical Report CS224N, Stanford University, 2009.
- Songwook Lee, "Sentiment Analysis System Using Stanford Sentiment Treebank," Journal of the Korean Society of Marine Engineering, Vol.39, No.3, pp.274-279, 2015. https://doi.org/10.5916/jkosme.2015.39.3.274
- Kong Joo Lee and Songwook Lee, "Error-driven Noun-Connection Rule Extraction for Morphological Analysis," Journal of the Korean Society of Marine Engineering, Vol.36, No.8, pp.1123-1128, 2012. https://doi.org/10.5916/jkosme.2012.36.8.1123