Modelling and Data Analysis
2024. Vol. 14, no. 1, 7–26
doi:10.17759/mda.2024140101
ISSN: 2219-3758 / 2311-9454 (online)
Semantic Analysis of Reviews About Organizations Using Machine Learning Methods
Abstract
Semantic analysis of organizational reviews is a key tool for assessing customer satisfaction levels. Business entities should regularly conduct analysis and emotional sentiment investigation to delve deeper into the data and gain a more comprehensive understanding of their operations, including through the use of machine learning methods. Presently, deep learning-based methods are garnering increased attention due to their high efficiency. In this study, we will focus on sentiment analysis tasks. To perform sentiment analysis, we will employ machine learning methods, including various approaches to text vectorization, deep learning models, and natural language processing (NLP) algorithms.
General Information
Keywords: natural language processing, classification task, gradient boosting, recurrent neural networks, convolutional neural networks, BERT, GPT
Journal rubric: Data Analysis
Article type: scientific article
DOI: https://doi.org/10.17759/mda.2024140101
Received: 26.02.2024
Accepted:
For citation: Platonov E.N., Martynova I.R. Semantic Analysis of Reviews About Organizations Using Machine Learning Methods. Modelirovanie i analiz dannikh = Modelling and Data Analysis, 2024. Vol. 14, no. 1, pp. 7–26. DOI: 10.17759/mda.2024140101. (In Russ., аbstr. in Engl.)
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