2518-1092Research result. Information technologies2518-109210.18413/2518-1092-2021-6-1-0-72376ARTIFICIAL INTELLIGENCE AND DECISION MAKINGSENTIMENT ANALYSIS OF TEXT BY MACHINE LEARNING METHODSSENTIMENT ANALYSIS OF TEXT BY MACHINE LEARNING METHODSSamigulinTimur RuslanovichSamigulinTimur Ruslanovichtimursamigulin98@gmail.comDjurabaevAnvar Erkin ugliDjurabaevAnvar Erkin uglianvar19971403@gmail.com20216100

There is a gigantic amount of information in the world. One of the most common forms of information storage is natural language texts. For the analysis of gigantic arrays of text data, the direction of natural language processing has been developed. Sentiment analysis in text is one of the main areas of the natural language processing section. The article discusses the main methods and approaches to the problem of analyzing the sentiment of a text in a natural language. A brief description of the traditional machine learning methods and deep learning methods used in practice is given. Based on the results of this article, the most effective methods of sentiment analysis have been identified

There is a gigantic amount of information in the world. One of the most common forms of information storage is natural language texts. For the analysis of gigantic arrays of text data, the direction of natural language processing has been developed. Sentiment analysis in text is one of the main areas of the natural language processing section. The article discusses the main methods and approaches to the problem of analyzing the sentiment of a text in a natural language. A brief description of the traditional machine learning methods and deep learning methods used in practice is given. Based on the results of this article, the most effective methods of sentiment analysis have been identified

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