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A Methodological Approach to Understanding Emotional States Using Textual Data

Kurbanov Abdurahmon AlishboyevichDoctoral student of the Department of Computer Science and Programming of the Jizzakh branch of the National University of Uzbekistan named after Mirzo Uligbek

Zenodo (CERN European Organization for Nuclear Research)repository2023en

ABI

Annotatsiya

In the age of digital communication, an abundance of textual data is generated daily through various channels, such as social media, emails, and chat applications. This wealth of textual information has opened up new avenues for understanding and evaluating the emotional states of individuals. Text analysis, a powerful tool in natural language processing (NLP), has emerged as a valuable method for gaining insights into the emotions, sentiments, and psychological well-being of people. This article explores the method of text analysis and its application in evaluating the emotional state of individuals through textual data.

Mavzular

Sentiment Analysis and Opinion Mining

Identifikatorlar

DOI: 10.5281/zenodo.8372217

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