A. Bagheri, M. Saraee, and F. de Jong, “Care more about customers: Unsupervised domain-independent aspect detection for sentiment analysis of customer reviews,” Knowl-Based Syst., vol. 52, pp. 201–213, Aug. 2013.
B. Liu, “Sentiment Analysis and Opinion Mining,” in Synthesis Lectures on Human Language Technologies, vol. 5, G. Hirst, Ed. Morgan & Claypool Publishers 2012, pp. 1–167.
N. S. Joshi, and S. A. Itkat, “A Survey on Feature Level Sentiment Analysis,” IJCSIT, vol. 5, no. 4, pp. 5422–5425, Aug. 2014.
H. Türkmen, E.Ekinci, and S. İlhan Omurca, “A Novel Method for Extracting Feature Opinion Pairs for Turkish,” in Lecture Notes in Computer Science, vol. 9883, C. Dichev, G. Agre, Eds. Springer, Cham, 2016, pp. 162–171.
M. Hu, and B. Liu, “Mining Opinion Features in Customer Reviews,” in Proc. 19th National Conference on Artificial Intelligence, San Jose, California, USA, 2004, pp. 755-760.
M. Hu, and B. Liu, “Mining and Summarizing Customer Reviews,” in Proc. International Conference on Knowledge Discovery and Data Mining, Seattle, WA, USA, 2004, pp 168-177.
A. M. Popescu, and O. Etzioni, “Mining and Summarizing Customer Reviews,” in Proc. Human Language Technology Conference and Conference on Empirical Methods in Natural Language Processing, Vancouver, B.C., Canada, 2005, pp 339-346.
K. T. Chan, and I. King, “Let’s Tango – Finding the Right Couple for Feature-Opinion Association in Sentiment Analysis,” in Lecture Notes in Computer Science, vol. 5476, T. Theeramunkong, B. Kijsirikul, N. Cercone, and T. B. Ho, Eds. Springer, Berlin, Heidelberg, 2009, pp. 741-748.
Y. Huang, Z. He, and H. Wang, “Optimization of Feature-Opinion Pairs in Chinese Customer Reviews,” in Lecture Notes in Computer Science, vol. 5579, B. C. Chien, T. P. Hong, S. M. Chen, and M. Ali, Eds. Springer, Berlin, Heidelberg, 2009, pp. 747-756.
S. Brody, and N. Elhadad, “An Unsupervised Aspect-Sentiment Model for Online Reviews” in Proc. Human Language Technologies: The 2010 Annual Conference of the North American Chapter of the ACL, Los Angeles, California, USA, 2010, pp. 804-812.
Y. Jo, and A. Oh, “Aspect and Sentiment Unification Model for Online Review Analysis,” in Proc. Fourth ACM International Conference on Web Search and Data Mining, Hong Kong, China, 2011, pp. 815-824.
S. Kim, J. Zhang, Z. Chen, A. Oh, and S. Liu, “A Hierarchical Aspect-Sentiment Model for Online Reviews,” in Proc. Twenty-Seventh AAAI Conference on Artificial Intelligence, Bellevue, Washington, USA, 2013, pp. 526-533.
P. Yin, H. Wang, and K. Guo, “Feature–opinion pair identification of product reviews in Chinese: a domain ontology modelling method,” New Rev. Hypermedia M., vol. 19, no. 1, pp. 3-24, Apr. 2013.
R. Klinger, and P. Climiano, “”Joint and Pipeline Probabilistic Models for Fine-Grained Sentiment Analysis: Extracting Aspects, Subjective Phrases and their Relations,” in Proc. 2013 IEEE 13th International Conference on Data Mining Workshops, Dallas, TX, USA, 2013, pp. 937-944.
E. Zhou, X. Luo and Z. Qin, “Incorporating Language Patterns and Domain Knowledge into Feature-Opinion Extraction,” in Lecture Notes in Computer Science, vol. 8655, P. Sojka, A. Horàk, I. Kopeček, and K. Pala, Eds. Springer, Cham, 2014, pp. 209-216.
C. Quan, and F. Ren, “Unsupervised product feature extraction for feature-oriented opinion determination,” Inform. Sciences, vol. 272, pp. 16-28, July 2014.
S. Wang, Z. Chen, and B. Liu, “Mining Aspect-Specific Opinion using a Holistic Lifelong Topic Model,” in Proc. International World Wide Web Conference Committee, Montréal, Québec, Canada, 2016, pp. 167-176.
R. K. Amplayo, and S. Hwang, “Aspect Sentiment Model for Micro Reviews,” in Proc. 2017 IEEE International Conference on Data Mining, New Orleans, USA, 2017, pp. 727-732.
D. M. Blei, “Probabilistic Topic Models,” Commun. ACM, vol. 55, no. 4, pp. 77-84, Apr. 2012.
D. M. Blei, A. Y. Ng, and M. I. Jordan, “Latent Dirichlet Allocation,” J. Mach. Learn. Res., vol. 3, pp. 993-1022, Jan. 2003.
A. Agrawal, W. Fu, and T. Menzies, “What is wrong with topic modeling? And how to fix it using search-based software engineering,” Inform. Software Tech., vol. 98, pp. 74-88, June 2018.
E. Ekinci, and S. İlhan Omurca, “Extracting Implicit Aspects based on Latent Dirichlet Allocation,” in Proc. Doctoral Consortium – DCAART-(ICAART 2017), Porto, Portugal, 2017, pp. 17-23.
M. D. Akın, and A. A. Akın, “Türk Dilleri için Açık Kaynaklı Doğal Dil İşleme Kütüphanesi: Zemberek,” Elektrik Mühendisliği, vol. 431, pp. 38-44, Aug. 2007.
E. Ekinci, H. Türkmen, and S. İlhan Omurca, “Determining Multi Word Aspects by Using Apriori Algorithm and Syntactic Rules for Turkish Hotel Reviews,” in Proc. 8th Language & Technology Conference: Human Language Technologies as a Challenge for Computer Science and Linguistics, Poznan, Poland, 2017, pp. 225-229.
A. Moro, A. Raganato, and R. Navigli, “Entity Linking meets Word Sense Disambiguation: a Unified Approach,” TACL, vol. 2, pp. 231–244, May 2014.