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Sentiment analysis of Linux kernel subsystemsThe article has a purpose to present the concept of sentiment analysis. The classification
Sentiment extraction and recognition algorithm, or neutral sentiment.
Constructing aspect-based sentiment lexicons with topic modeling 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 companiesThis paper describes a supervised approach for solving a task on sentiment analysis of tweets about
Recognition of Sarcastic Sentences in the Task of Sentiment Analysis. The main
goal is to increase the accuracy of sentiment analysis. The
sentiment level determination of a
Inferring sentiment-based priors in topic models have appeared that are specifically tailored for sentiment analysis, including the Joint Sentiment
A supervised approach for SentiRuEval task on sentiment analysis of tweets about telecom and financial companiesThis paper describes a supervised approach for solving a task on sentiment analysis of tweets about
The Linguistic Landscape of “Controversial”: Sentiment and Theme Distribution Insights, aiming to bridge a gap in existing literature by focusing on platform-specific sentiment analysis
Solving the problem of sentiment analysis using neural network models of sentiment analysis based on neural network models of natural language processing. The methods are based
World Applied Sciences Journal. Т. 32, №7. С. 1455-1459. Is Sentiment Analysis Domain-Dependent?World Applied Sciences Journal. Т. 32, №7. С. 1455-1459. Is Sentiment Analysis Domain-Dependent?
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