«SentiRuEval: testing object‑oriented sentiment analysis systems in Russian»

Tutubalina E. V.; Loukachevitch N. V; Ivanov V. V.; Rubtsova Ju. V.; Blinov P. D.; Kotelnikov E. V.;

Dialogue, 2015;

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Number of results:
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Extracting aspects, sentiment and categories of aspects in user reviews about restaurants and cars (URL) Alimova I. C.
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Using Distributed Representations for Aspect-based Sentiment Analysis (URL) Blinov P. D.
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SentiRuEval-2016: Overcoming Time Gap and Data Sparsity in Tweet Sentiment Analysis (URL) Rubtsova Ju. V.
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A high precision method for aspect extraction in Russian (URL) Avanesov V.
Andrianov I. A.
Turdakov D.
Astrahantsev N. A.
Majorov V. D.
Kozlov I.
Institute for System Programming of the Russian Academy of Sciences, Moscow, Russia
Dialogue 2015 Извлечение ключевых слов
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A supervised approach for SentiRuEval task on sentiment analysis of tweets about telecom and financial companies (URL) Malyh V. A.
Ivanov V. V.
Tutubalina E. V.
Zagulova M. A.
Kazan (Volga Region) Federal University, Kazan, Russia
Dialogue 2015 Тематическая классификация
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Deep recurrent neural networks for multiple language aspect-based sentiment analysis of user reviews (URL) Tarasov D. S.
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Constructing Aspect-based Sentiment Lexicons with Topic Modeling (URL) Nikolenko Sergey
Tutubalina E. V.
Steklov Mathematical Institute at St. Petersburg, St. Petersburg, Russia; National Research University Higher School of Economics, St. Petersburg, Russia; Deloitte Analytics Institute, Moscow, Russia
Kazan (Volga Region) Federal University, Kazan, Russia
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Sentiment analysis track at ROMIP 2011 (URL) Braslavski P. I.
Chetverkin I. I.
Loukachevitch N. V
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Automatic object-oriented sentiment analysis by means of semantic templates and sentiment lexicon dictionaries (URL) Pleshko V. V.
Kalinina M. V.
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