| Paper title | Paper author | Affiliation | Conference | Year | Similarity | Tasks | 
				
					
						| Using Sentiment-Analysis For Text Information Extraction     | Pazelskaja A. G. Solovev A. N.
 Antonova A. Ju.
 
 | I-Teco, Moscow, Russia 
 | Dialogue | 2012 | 0.9903 | 
							Show tasks (experimental!)Автоматическое реферированиеПостроение конкордансов
 Морфологический анализ
 
 | 
				
					
						| Using Basic Syntactic Relations For Sentiment Analysis     | Ostapuk N. A. Mavljutov R. R.
 
 | Yandex, Moscow, Russia 
 | Dialogue | 2013 | 0.9900 | 
							Show tasks (experimental!)Построение конкордансовМорфологический анализ
 Дистрибутивная семантика
 
 | 
				
					
						| Entity Based Sentiment Analysis Using Syntax Patterns And Convolutional Neural Network   ![This paper provides an alternative method to extracting object-based sentiment in text messages, based on modified method previously proposed
by Mingbo [8], in which we first parse the syntax, and then correlate the
sentiment with the object of analysis (also referred to as entity by some,
therefore... annotation](/data/images/annot.png)  | Kazorin V. I. Nemov N. R.
 Kozhevnikov M. V.
 Karpov I. A.
 
 | National Research University Higher School of Economics Research and Development Institute KVANT, Moscow, Russia
 
 | Dialogue | 2016 | 0.9878 | 
							Show tasks (experimental!)Морфологический анализПостроение конкордансов
 Дистрибутивная семантика
 
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						| Semantic Similarity For Aspect‑Based Sentiment Analysis     | Blinov P. D. Kotelnikov E. V.
 
 | Vyatka State Humanities University, Kirov, Russia 
 | Dialogue | 2015 | 0.9865 | 
							Show tasks (experimental!)Построение конкордансовМорфологический анализ
 Автоматическое реферирование
 
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						| Automatic Generation Of Annotated Collection For Recognition Of Sentiment Frames     | Solomatina Y. Loukachevitch N. V.
 
 | Lomonosov Moscow State University, Moscow, Russia 
 | AIST | 2020 | 0.9857 | 
							Show tasks (experimental!)Морфологический анализПостроение конкордансов
 Дистрибутивная семантика
 
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						| Constructing Aspect-Based Sentiment Lexicons With Topic Modeling     | Nikolenko Sergey Tutubalina E. V.
 
 | Steklov Mathematical Institute, St. Petersburg, Russia Kazan (Volga Region) Federal University, Kazan, Russia
 National Research University Higher School of Economics
 Deloitte Analytics Institute, Moscow, Russia
 
 | AIST | 2016 | 0.9857 | 
							Show tasks (experimental!)Построение конкордансовМорфологический анализ
 Дистрибутивная семантика
 
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						| Syntax-Based Sentiment Analysis Of Tweets In Russian     | Panicheva P. V. Adaskina Ju. V.
 Popov A. M.
 
 | InfoQubes, Moscow, Russia 
 | Dialogue | 2015 | 0.9856 | 
							Show tasks (experimental!)Построение конкордансовМорфологический анализ
 Дистрибутивная семантика
 
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						| Learning Noisy Discourse Trees     | Galitskij B. A. 
 | Oracle Inc., Redwood Shores CA, USA 
 | Dialogue | 2017 | 0.9853 | 
							Show tasks (experimental!)Построение конкордансовМорфологический анализ
 Автоматическое реферирование
 
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						| A Supervised Approach For Sentirueval Task On Sentiment Analysis Of Tweets About Telecom And Financial Companies     | Malyh V. A. Ivanov V. V.
 Tutubalina E. V.
 Zagulova M. A.
 
 | Institute for Systems Analysis FRC CSC RAS, Moscow, Russia Tatarstan Academy of Sciences, Russia
 Kazan (Volga Region) Federal University, Kazan, Russia
 
 | Dialogue | 2015 | 0.9853 | 
							Show tasks (experimental!)Построение конкордансовМорфологический анализ
 Автоматическое реферирование
 
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						| Combining Facts, Semantic Roles And Sentiment Lexicon In A Generative Model For Opinion Mining     | Feldman D. G. Sadekova T. R.
 Vorontsov K. V.
 
 | Lomonosov Moscow State University, Moscow, Russia Moscow Institute of Physics and Technology, Moscow, Russia
 
 | Dialogue | 2020 | 0.9852 | 
							Show tasks (experimental!)Построение конкордансовМорфологический анализ
 Дистрибутивная семантика
 
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