Year: 2025
Type: article
Abstract: Sentiment analysis, which examines feelings and viewpoints represented in text, is an essential method for comprehending human behavior by analyzing text to determine the emotional tone of a message. The analysis is done through data collection, data processing, data analysis and data visualization. Its applicability in media monitoring, employee sentiment etc. helps businesses understand customer feedback and opinions, which can lead to improved customer satisfaction, product development, and brand awareness. On the other hand, social media sentiment analysis automatically determines how people feel about a brand or product on social media. It can help businesses understand their audience, manage crises, and improve their brand reputation. This paper offers a thorough review of the many sentiment analysis techniques used to assess human behavior in various fields. Deeper understanding of psychological and social factors is made possible by emotional intelligence, which is crucial to this process. The study looks at methods, uses, and the importance of sentiment analysis in fields like social interactions, marketing, and mental health. This paper demonstrates the efficacy of sentiment analysis in deciphering human emotions and behaviors by reviewing the literature.
Language: English
Subfield: Artificial Intelligence
Field: Computer Science
Domain: Physical Sciences
Open Access status: hybrid
OpenAlex ID: W4407832925