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Sentiment analysis: A review and comparative analysis of existing approaches

Published: 28 February 2024 Publication History

Abstract

Nowadays the introduction of artificial intelligence technologies into human life is at the peak of its history, including natural language processing (NLP). Consequently, it is becoming more necessary than ever to find new effective solutions for data labeling, on which machine models will be trained and appropriate algorithms will be built. In this paper, we describe the process of sentiment analysis (SA), as well as review approaches at all stages of analysis, publicly available datasets and produced software solutions within the Russian and foreign markets. In addition, we have traced the line of development of approaches for evaluating Russian-language texts in order to take into account the latest and most effective solutions in future work.

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  1. Sentiment analysis: A review and comparative analysis of existing approaches

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    cover image ACM Other conferences
    MLNLP '23: Proceedings of the 2023 6th International Conference on Machine Learning and Natural Language Processing
    December 2023
    252 pages
    ISBN:9798400709241
    DOI:10.1145/3639479
    Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than the author(s) must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected].

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    Published: 28 February 2024

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    Author Tags

    1. NLP
    2. computational linguistics
    3. emotional tonality
    4. linguistic analysis
    5. sentiment analysis

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