Linguistic Analysis of Texts in Philological Research: The Use of Salesforce Einstein Artificial Intelligence

Authors

  • Iryna Strashko

    Mykhailo Drahomanov State University of Ukraine, Kyiv, 02000, Ukraine
  • Inesa Melnyk

    Vasyl Stefanyk Precarpathian National University, Ivano-Frankivsk, 76000, Ukraine
  • Valentyna Kozak

    Kyiv Institute of the National Guard of Ukraine, Kyiv, 03179, Ukraine
  • Nataliia Torchynska

    Khmelnytskyi National University, Khmelnytskyi, 29000, Ukraine；

    Khmelnytskyi Scientific Research Forensic Center of the MIA (Minictry of Internal Affairs) of Ukraine, Khmelnytskyi, 29019, Ukraine
  • Olena Dyiak

    Ukrainian State Drahomanov University, Kyiv, 02000, Ukraine

DOI:

https://doi.org/10.30564/fls.v6i3.6601
Received: 29 March 2024 | Revised: 15 April 2024 | Accepted: 5 May 2024 | Published Online: 10 July 2024

Abstract

Artificial intelligence is beginning to spread to all fields of science, and philology, linguistics and literature are no exception. This intersection of technology and the humanities opens a new era of linguistic and literary analysis. The relevance lies in the fact that artificial intelligence offers innovative ways of understanding and interpreting texts. Linguistic analysis of texts is an important part of philological research, as it helps to uncover the meaning, style, and other elements of language use in texts. This study aims to explore the innovative technology of Salesforce Einstein Artificial Intelligence, which can be used for linguistic text analysis in philological research. Research methods include literature review, correlation analysis, social analysis, impact analysis, syntactic analysis, and factor analysis. The results of the work showed that the system deeply learns the language and learns to recognize and analyze various language features and emotions. The paper examines the technical and ethical aspects of Salesforce Einstein AI. A cross-sectional study allowed us to describe the technological capabilities of the system and to debate the problem of replacing the author with artificial intelligence from an ethical perspective. The authors conclude that linguistic text processing in philology has revolutionized the way authors interact with technology and has become a valuable tool in text analysis. Salesforce Einstein AI has opened up a whole new world of opportunities for the field of philology.

Keywords:

Artificial intelligence; Test processing; Tokenization; Emotion analysis; Ethical issue; Natural language

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How to Cite

Strashko, I., Melnyk, I., Kozak, V., Torchynska, N., & Dyiak, O. (2024). Linguistic Analysis of Texts in Philological Research: The Use of Salesforce Einstein Artificial Intelligence. Forum for Linguistic Studies, 6(3), 246–259. https://doi.org/10.30564/fls.v6i3.6601

Issue

Vol. 6 , Iss. 3 (September 2024)

Article Type

Review

License

Copyright © 2024 Iryna Strashko, Inesa Melnyk, Valentyna Kozak, Nataliia Torchynska, Olena Dyiak

Creative Commons License

This is an open access article under the Creative Commons Attribution 4.0 International License.