Research of heuristic approaches for determining the tonality of text messages in natural language processing problems

Polyakov, Evgeniy; Polyakov, S. V.; Abramov, Pavel

doi:10.1109/redundancy48165.2019.9003347

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The Hybrid Model Development1

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2020

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“…The measure TF-IDF [30] will be used as weights, where the selected word is the word found in the dictionary, and the documents are all comments.…”

Section: The Hybrid Model Developmentmentioning

confidence: 99%

The Sentiment Analysis Model of Services Providers’ Feedback

Shakhovska

Veselý

2020

Electronics

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The purpose of this paper is to develop a hybrid model Ukrainian language sentiment analyzer, which should improve the accuracy of the mood definition to expand the Ukrainian language among the instruments on the market. The object of research is the processes of determining the language of the text and predicting its sentiment score. The subject of the study is Ukrainian comments posted by Google Maps users. The following text categories are taken into account: food, hotels, museums, and shops. The new method was built as an ensemble of support vector machine, logistic regression, and XGBoost, in combination with a rule-based algorithm. The practical use of the algorithm makes it possible to analyze the Ukrainian text in accordance with the category with the visualization of the research results. The accuracy of the proposed method is bigger than 0.88 in the worst case. The mining procedure of the positive and negative sides of service providers based on users’ feedback is developed. It allows electronics business to make improvements based on frequent positive and negative words.

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“…The measure TF-IDF [30] will be used as weights, where the selected word is the word found in the dictionary, and the documents are all comments.…”

Section: The Hybrid Model Developmentmentioning

confidence: 99%