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Constructing aspect-based sentiment lexicons with topic modeling
Tutubalina E., Nikolenko S.
analysis, i.e., models that extract certain topics (aspects) from a corpus of documents and mine sentiment
Extracting aspects, sentiment and categories of aspects in user reviews about restaurants and cars
Ivanov V., Tutubalina E., Mingazov N., Alimova I.
This paper describes a method for solving aspect-based sentiment analysis tasks in restaurant
Extracting aspects, sentiment and categories of aspects in user reviews about restaurants and cars
Ivanov V., Tutubalina E., Mingazov N., Alimova I.
This paper describes a method for solving aspect-based sentiment analysis tasks in restaurant
Inferring sentiment-based priors in topic models
Tutubalina E., Nikolenko S.
new approach to automatically infer sentiment-based β priors in topic models for sentiment analysis
Constructing aspect-based sentiment lexicons with topic modeling
Tutubalina E., Nikolenko S.
analysis, i.e., models that extract certain topics (aspects) from a corpus of documents and mine sentiment
A supervised approach for SentiRuEval task on sentiment analysis of tweets about telecom and financial companies
Tutubalina E., Zagulova M., Ivanov V., Malykh V.
This paper describes a supervised approach for solving a task on sentiment analysis of tweets about
Inferring sentiment-based priors in topic models
Tutubalina E., Nikolenko S.
new approach to automatically infer sentiment-based β priors in topic models for sentiment analysis
Recognition of Sarcastic Sentences in the Task of Sentiment Analysis
Dolbin, A. V., Rozaliev, V., Orlova, Y., Fomenkov, S.
. The main goal is to increase the accuracy of sentiment analysis. The sentiment level determination of a
A supervised approach for SentiRuEval task on sentiment analysis of tweets about telecom and financial companies
Tutubalina E., Zagulova M., Ivanov V., Malykh V.
This paper describes a supervised approach for solving a task on sentiment analysis of tweets about
SentiRuEval: Testing Object-oriented sentiment analysis systems in Russian
Loukachevitch N., Blinov P., Kotelnikov E., Rubtsova Y., Ivanov V., Tutubalina E.
-oriented sentiment analysis systems. Two tasks were proposed to participants. The first task was aspect

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