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Park, S.R., Lee, W.S. and Moon, I.-C., 2015. Efficient Extraction of Domain Specific Sentiment Lexicon with Active Learning. Pattern Recognition Letters, 56(4), pp.38–44.


Abstract : 

 Recent research indicates that a sentiment lexicon focusing on a specific domain leads to better sentiment analyses compared to a general-purpose sentiment lexicon, such as SentiWordNet. In spite of this potential improvement, the cost of building a domain-specific sentiment lexicon hinders its wider and more practical applications. To compensate for this difficulty, we propose extracting a sentiment lexicon from a domain-specific corpus by annotating an intelligently selected subset of documents in the corpus. Specifically, the subset is selected by an active learner with initializations from diverse text analytics, i.e. latent Dirichlet allocation and our proposed lexicon coverage algorithm. This active learning produces a better domain-specific sentiment lexicon which results in a higher accuracy of the sentiment classification. Subsequently, we evaluate extracted sentiment lexicons by observing (1) the increased F1 measure in sentiment classifications and (2) the increased similarity to the sentiment lexicon with the full annotation. We expect that this contribution will enable more accurate sentiment classification by domain-specific sentiment lexicons with less sentiment tagging efforts.


title = "Efficient extraction of domain specific sentiment lexicon with active learning ",
journal = "Pattern Recognition Letters ",
volume = "56",
number = "",
pages = "38 - 44",
year = "2015",
note = "",
issn = "0167-8655",
doi = "",
url = "",
author = "Sungrae Park and Wonsung Lee and Il-Chul Moon",
keywords = "Sentiment analysis",
keywords = "Active learning",
keywords = "Sentiment lexicon ",


Source Website :

No. Subject
13 Dongjun Kim, Kyungwoo Song, Yoon-Yeong Kim, Yongjin Shin, Wanmo Kang, Il-Chul Moon, Weonyoung Joo, Sequential Likelihood-Free Inference with Neural Proposal, Pattern Recognition Letters, Volume 169, 2023, Pages 102-109 file
12 J. H. Lee, I. -C. Moon and R. Oh, "Similarity Search on Wafer Bin Map Through Nonparametric and Hierarchical Clustering," in IEEE Transactions on Semiconductor Manufacturing, vol. 34, no. 4, pp. 464-474, Nov. 2021, doi: 10.1109/TSM.2021.3102679. file
11 Kim, Yoon-Yeong, et al. "Black-Box Expectation–Maximization Algorithm for Estimating Latent States of High-Speed Vehicles." Journal of Aerospace Information Systems 18.4 (2021): 175-192. file
10 Joo, W., Lee, W., Park, S., & Moon, I. C. (2020). Dirichlet variational autoencoder. Pattern Recognition, Vol. 107, 107514. file
9 Jang, J.; Shin, S.; Lee, H.; Moon, I.-C. Forecasting the Concentration of Particulate Matter in the Seoul Metropolitan Area Using a Gaussian Process Model. Sensors 2020, 20, 3845. file
8 Kim, Dohyung, Hyun-Shik Oh, and Il-Chul Moon. "Black-box Modeling for Aircraft Maneuver Control with Bayesian Optimization." International Journal of Control, Automation and Systems 17.6 (2019): 1558-1568. file
7 Il-Chul Moon, Kyungwoo Song, Sang-Hyeon Kim, and Han-Lim Choi, State Prediction of High-speed Ballistic Vehicles with Gaussian Process, International Journal of Control, Automation and Systems, Vol. 16, Issue 3, June 2018, pp 1282-1292 file
6 Su-Jin Shin, Je-Yong Oh, Sungrae Park, Minki Kim, Il-Chul Moon, Hierarchical prescription pattern analysis with symptom labels, Pattern Recognition Letters, Volume 111, 2018, Pages 94-100 file
5 Sungrae Park, Doosup Choi, Minki Kim, Wonchul Cha, Chuhyun Kim, Il-Chul Moon, Identifying prescription patterns with a topic model of diseases and medications, Journal of Biomedical Informatics, Volume 75, November 2017, Pages 35-47 file
4 Su-Jin Shin, and Il-Chul Moon, "Guided HTM: Hierarchical Topic Model with Dirichlet Forest Priors", IEEE Transactions on Knowledge & Data Engineering. vol. 29 no. 2, p. 330-343, Feb., 2017 file
3 Park, S.R., W.S. Lee, and I.-C. Moon. 2015. “Associative Topic Models with Numerical Time Series.” Information Processing and Management 51 (5): 737–755. file
» Park, S.R., Lee, W.S. and Moon, I.-C., 2015. Efficient Extraction of Domain Specific Sentiment Lexicon with Active Learning. Pattern Recognition Letters, 56(4), pp.38–44. file
1 Yiming Yang, Shinjae Yoo, Frank Lin, and Il-Chul Moon, Personalized Email Prioritization Based on Content and Social Network Analysis, IEEE Intelligent Systems, Special Issue on Social Learning, Vol. 25, Issue 4, pp 12-18, Jul/Aug 2010 file