Электронный каталог кинодокументов

Pang B., Lee L., Vaithyanathan S. Thumbs up?: sentiment classification using machine learning techniques // Proceedings of the ACL-02 Conference on Empirical Methods in Natural Language Processing. 2002. V. 10. P. 79-86.

Amigo E., Corujo A., Gonzalo J., Meij E., Rijke M. Overview of RepLab 2012: Evaluating Online Reputation Management Systems // CLEF-2012. 2012.

Jiang Long, Mo Yu, Ming Zhou, Xiaohua Liu, Tiejun Zhao. Target dependent twitter sentiment classification // Proceedings of the 49th Annual Meeting of the Association for Computational Linguistics (ACL-2011). 2011. P. 151-160.

Popescu, A., Etzioni O. Extracting product features and opinions from reviews // Natural language processing and text mining. Springer: London. 2007. P. 9-28.

Liu B., Zhang L. A survey of opinion mining and sentiment analysis // Mining Text Data. Springer: US, 2012. P. 415-463.

Bagheri A., Saraee M., de Jong F. An unsupervised aspect detection model for sentiment analysis of reviews // Natural Language Processing and Information Systems. Springer: Berlin Heidelberg, 2013. P. 140-151.

Glavaš G., Korencic D., Šnajder J. Aspect-oriented opinion mining from user reviews in Croatian // Proceedings of BSNLP workshop, ACL-2013. 2013. P. 18-23.

Zhang L., Liu B. Aspect and entity extraction for opinion mining // Data Mining and Knowledge Discovery for Big Data. Springer: Berlin Heidelberg, 2014. P. 1-40.

Liu B. Sentiment analysis and Subjectivity // Handbook of Natural Language Processing. CRC Press, Taylor and Francis Group, Boca Raton, 2010. P. 1-38.

Gupta N.K. Extracting phrases describing problems with products and services from twitter messages // Computación y Sistemas. 2013. V. 17, No 2. P. 197-206.

Ivanov V., Tutubalina E. Clause-based approach to extracting problem phrases from user reviews of products // Analysis of Images, Social Networks and Texts. Springer International Publishing, 2014. P. 229-236.

Tutubalina E., Ivanov V. Unsupervised approach to extracting problem phrases from user reviews of products // Proceedings of the Aha! Workshop on Information Discovery in Texts, Coling-2014. 2014. P. 48-53.

Feng S., Bose R., Choi Y. Learning general connotation of words using graph-based algorithms // Proceedings of the Conference on Empirical Methods in Natural Language Processing. – Association for Computational Linguistics. 2011. P. 1092-1103.

Feng S., Kang J.S., Kuznetsova P., Choi Y. Connotation Lexicon: a dash of sentiment beneath the surface meaning // Proceedings of ACL. 2013. P. 1774-1784.

Zhang Lei, Bing Liu. Identifying noun product features that imply opinions // Proceedings of the Annual Meeting of the Association for Computational Linguistics (short paper) (ACL-2011). 2011. P. 575-580.

Liu B., Zhang L. A survey of opinion mining and sentiment analysis // Mining Text Data. 2012: Springer US. P. 415-463.

Zhang Lei, Liu B. Extracting resource terms for sentiment analysis // Proceedings of IJCNLP-2011. 2011. P.1171-1179.

Blair-Goldensohn S., Hannan K., McDonald R., Neylon T., Reis G. A., Reynar J. Building a sentiment summarizer for local service reviews // Proceedings of WWW Workshop on NLP in the Information Explosion Era. 2008.

Hu M., Liu B. Mining and summarizing customer reviews // Proceedings of the 10th ACM SIGKDD international conference on Knowledge discovery and data mining. ACM, 2004. P. 168-177.

Марчук А.А., Уланов А.В., Макеев И.В., Чугреев А.А. Автоматическое извлечение параметров продуктов из текстов отзывов при помощи интернет-статистик // Труды Международной конференции «Компьютерная лингвистика и информационные технологии, Диалог-2013». 2013. Т. 2. C. 81-91.

Moghaddam S., Ester M. Aspect-based opinion mining from online reviews. Tutorial at SIGIR-2012. 2012.

Ku Lun-Wei, Yu-Ting Liang, Hsin-Hsi Chen. Opinion extraction, summarization and tracking in news and blog corpora // Proceedings of AAAI-CAAW'06. 2006.

Manning C.D., Raghavan P., Schütze H. Introduction to information retrieval. Cambridge: Cambridge University Press, 2008.

Scaffidi Ch., Bierhoff K., Chang E., Felker M., Ng H., Jin Ch. Red Opal: product-feature scoring from reviews // Proceedings of Twelfth ACM Conference on Electronic Commerce (EC-2007). 2007. P. 182-191.

Frantzi K., Ananiadou S., Mima H. Automatic recognition of multi-word terms: the C-value/NC-value method // International Journal on Digital Libraries, 2000. V. 3, No 2. P. 115-130.

Zhu J., Wang H., Tsou B., Zhu M. Multiaspect opinion polling from textual reviews // Proceedings of ACM International Conference on Information and Knowledge Management (CIKM-2009). 2009. P. 1799-1802.

Hai Z., Chang K., Cong G. One seed to find them all: mining opinion features via association // Proceedings of the 21st ACM international conference on Information and knowledge management. 2012. ACM. P. 255-264.

Qiu G., Liu B., Bu J., Chen C. Opinion word expansion and target extraction through double propagation // Computational Linguistics. 2011. V. 1, No 1. P. 1-18.

Loukachevitch N., Nokel M. An experimental study of term extraction for real information-retrieval thesauri // Proceedings of Terminology and Artificial Intelligence Conference TIA-2013. 2013. P. 69-78.

Zhuang L., Jing F., Zhu X. Movie review mining and summarization // Proceedings of ACM International Conference on Information and Knowledge Management (CIKM-2006), 2006. P. 43-50.

Zhang L., Liu B., Lim S., O’Brien-Strain E. Extracting and ranking product features in opinion documents // Proceedings of International Conference on Computational Linguistics (COLING-2010). 2010. P. 1462-1470.

Kovelamudi S., Ramalingam S., Sood A., Varma V. Domain independent model for product attribute extraction from user reviews using Wikipedia // Proceedings of the 5th International Joint Conference on Natural Language Processing (IJCNLP-2010). 2011. P. 1408-1412.

Niklas J., Gurevych I. Extracting opinion targets in a single and cross-domain setting with conditional random fields // Proceedings of Conference on Empirical Methods in Natural Language Processing (EMNLP-2010). 2010. P. 1035-1045.

Choi Y., Cardie C. Hierarchical sequential learning for extracting opinions and their attributes // Proceedings of Annual Meeting of the Association for Computational Linguistics (ACL-2010). 2010. P. 269-274.

Blei D., Ng A., Jordan M. Latent Dirichlet allocation // The Journal of Machine Learning Research, 2003. No 3. P. 993-1022.

Воронцов К.В., Потапенко А.А. Модификации EM-алгоритма для вероятностного тематического моделирования // Машинное обучение и анализ данных. 2013. Т. 1, № 6. C. 657-686.

Titov I., McDonald R. A joint model of text and aspect ratings for sentiment summarization // Urbana, 51, 61801. 2008.

Zhao Wayne Xin, Jing Jiang, Hongfei Yan, Xiaoming Li. Jointly modeling aspects and opinions with a MaxEnt-LDA hybrid // Proceedings of Conference on Empirical Methods in Natural Language Processing (EMNLP-2010). 2010. P. 56-65.

Zhai Z., Liu B., Xu H., Jia P. Grouping product features using semi-supervised learning with soft-constraints // Proceedings of Coling-2010. 2010. P. 1272-1280.

Zhai Z., Liu B., Xu H., Jia P. Clustering product features for opinion mining // Proceedings of the fourth ACM international conference on Web search and data mining. ACM. 2011. P. 347-354.

Yu J., Zha Z.J., Wang M., Wang K., Chua T.S. Domain-assisted product aspect hierarchy generation: towards hierarchical organization of unstructured consumer reviews // Proceedings of the Conference on Empirical Methods in Natural Language Processing. Association for Computational Linguistics. 2011. P. 140-150.

Andrzejewski D., Zhu X., Craven M. Incorporating domain knowledge into topic modeling via Dirichlet forest priors // Proceedings of ICML. 2009. P. 25-32.

Mukherjee A., Liu B. Aspect extraction through semi-supervised modeling // Proceedings of 50th Annual Meeting of Association for Computational Linguistics (ACL-2012). 2012. P. 339-348.

Ding X., Liu B., Yu Ph. A holistic lexicon-based approach to opinion mining // Proceedings of the Conference on Web Search and Web Data Mining (WSDM-2008). 2008. P. 231-240.

Neviarouskaya A., Prendinger H., Ishizuka M. Recognition of affect, judgment, and appreciation in text // Proceedings of the 23rd International Conference on Computational Linguistics (COLING-2010). 2010. P. 806-814.

Macdonald C., Santos R. L., Ounis I., Soboroff I. Blog track research at TREC // SIGIR Forum. 2010. V. 44, No 1. P. 58-75.

Dang H.T., Owczarzak K. Overview of the tac 2008 opinion question answering and summarization tasks // Proceedings of the First Text Analysis Conference. 2008.

Seki Y. et al. Overview of multilingual opinion analysis task at NTCIR-7 // Proceedings of the Seventh NTCIR Workshop. 2008. P. 185-203.

Pontiki M., Galanis D., Pavlopoulos J., Papageorgiou H., Androutsopoulos I., Manandhar S. SemEval-2014 Task 4: aspect based sentiment analysis // Proceedings of International Workshop on Semantic Evaluations SemEval-2014. 2014. P. 27-35.

Chetviorkin I., Loukachevitch N. Evaluating sentiment analysis systems in russian // Proceedings of BSNLP Workshop, ACL 2013. 2013. P. 12-16.

Loukachevitch N., Blinov P., Kotelnikov E., Rubtsova Y., Ivanov V., Tutubalina E. SentiRuEval: testing object-oriented sentiment analysis systems in Russian // Proceedings of International Conference of Computational Linguistics and Intellectual Technologies Dialog-2015. 2015. V. 2. P. 2-13.

Mikolov T., Sutskever I., Chen K., Corrado G.S., Dean J. Distributed representations of words and phrases and their compositionality // Advances in neural information processing systems. 2013. P. 3111-3119.

Blinov P.D., Kotelnikov E.V. Semantic similarity for aspect-based sentiment analysis // Proceedings of International Conference of Computational Linguistics and Intellectual Technologies Dialog-2015. 2015. V. 2. P. 23-33.

Mayorov V., Andrianov I., Astrakhantsev N., Avanesov V., Kozlov I., Turdakov D. A high precision method for aspect extraction in Russian // Proceedings of International Conference of Computational Linguistics and Intellectual Technologies Dialog-2015. V. 2. 2015. P. 34-43.

Tarasov D.S. Deep recurrent neural networks for multiple language aspect based sentiment analysis of user reviews // Proceedings of International Conference of Computational Linguistics and Intellectual Technologies Dialog-2015. 2015. V. 2. P. 53-64.