Defining an approach for deep sentiment analysis of reviews in Ukrainian

2012;
: ст. 124 – 130
Authors: 

Lobur M, Romaniuk A., Romanyshyn M.

Lviv Polytechnic National University Computer-Aided Design Department

Описано підходи до емоційно-смислового аналізу, а також визначення найкращого підходу для української мови.

1. Давыдов А. А. Системная социология: Opinion Mining / А. А. Давыдов. – М.: ИС РАН. – 2009. – Режим доступу: http://www.isras.ru/index.php?page_id=1024/ 2. Пазельская А. Метод определения эмоций в текстах на русском языке / А. Г. Пазельская, А. Н. Соловьев // Компьютерная лингвистика и интеллектуальные технологии: сб. научных статей / Вып. 10 (17). – М.: Изд-во РГГУ, 2011. – С. 510–522. 3.Agrin N. Developing a Flexible Sentiment Analysis Technique for Multiple Domains / Nate Agrin. – 2006. – Режим доступу: http://courses.ischool.berkeley.edu/i256/f06/ projects/agrin.pdf 3) Cheng T. Corpus and Sentiment Analysis / Tai Wai David Cheng. – Guildford, 2007. – 144 p. 4.Deep sentiment analysis with attensity analyze optimises Lloyds’ customer service. – Режим доступу: http://www.attensity.com/wp-content/uploads/2010/09/LloydsSuccessStory.pdf 5) Denecke K. Using SentiWordNet for Multilingual Sentiment Analysis / Kerstin Denecke. – ICDE Workshops. – 2008. – pp. 507-512. 6. Kan D. Rule-based approach to sentiment analysis at ROMIP 2011 / Dmitry Kan. – Режим доступу: http://www.slideshare.net/dmitrykan/rule-based-approach-to-sentiment-ana... 7. Kasper W. Monitoring and Summarization of Hotel Reviews / Walter Kasper, Mihaela Vela. – Information and Communication Technologies in Tourism 2012 (ENTER-2012). – Helsingborg, Wien: Springer, 01/2012. – pp. 471-482. 8. Kasper W. Sentiment Analysis for Hotel Reviews / Walter Kasper, Mihaela Vela. – Proceedings of the Computational Linguistics-Applications Conference. – Jachranka, Poland: Polskie Towarzystwo Informatyczne, Katowice, 10/2011. – pp. 45–52. 9. Kawathekar S. A. Sentiments analysis using Hybrid Approach involving Rule-Based & Support Vector Machines methods / Swati A. Kawathekar, Dr. Manali M. Kshirsagar. – IOSR Journal of Engineering (IOSRJEN). – Vol. 2 Issue 1. – Jan., 2012. – pp. 55-58. 10. Lybmix. – Режим доступу: http://www.lybmix.com/live-demo 11) Moilanen K. Multi-entity Sentiment Scoring / Karo Moilanen, Stephen Pulman. – Proceedings of Recent Advances in Natural Language Processing (RANLP 2009). – Borovets, Bulgaria, September 14–16 2009. – pp. 258–263. 12. Prabovo R. Sentiment Analysis: A Combined Approach / Rudy Prabowo, Mike Thelwall. – Journal of Informetrics. – Vol. 3, No. 2. – April 2009. – pp. 143–157. 13. Python NLTK Demos for Natural Language Text Processing. – Режим доступу: http://text-processing.com/demo/sentiment 14. SAS® Sentiment Analysis. – Режим доступу: https://www.sas.com/text-analytics/sentimentanalysis/#section=1 15. Skyttle API. – Режим доступу: http://nlp.skyttle.com/api/nlp/ 16. Trustyou. – Режим доступу: http://www.semantic-api.com/demo-statistical-sentiment-analysis.html 17. Turney P. D. Thumbs up or thumbs down? Semantic orientation applied to unsupervised classification of reviews / P. D. Turney // Proceedings of the 40th Annual Meeting on Association for Computational Linguistics (Stroudsburg, PA, USA 2002): ACL, 2002. – pp. 417–424. 18. UGTag – a morphological tagger for Ukrainian language. – Режим доступу: http://www.domeczek.pl/~polukr/parcor/ 19. Yang C. A RuleBased Approach for Effective Sentiment Analysis / Chin-Sheng Yang, Hsiao-Ping Shih. – Режим доступу: http://pacis2012.org/files/papers/pacis2012_T25_Yang_288.pdf 20. Yessenov K. Sentiment Analysis of Movie Review Comments / Kuat Yessenov, Sasa Misailovic. – Massachusetts Institute of Technology, Spring 2009. – Режим доступу: http://people.csail.mit.edu/kuat/courses/6.863/report.pdf