International Journal For Multidisciplinary Research

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Study of Sentiment Analysis for Analyzing Human Behavior

Author(s) Manjiri S Deshmukh, Dr. Mukta Dhopeshwarkar, Dr. Swapna Kolhatkar, Sarika Swami
Country India
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.
Keywords Sentiment, Human behavior, TF-IDF, BERT, Machine Learning, Deep Learning etc.
Field Computer > Artificial Intelligence / Simulation / Virtual Reality
Published In Volume 7, Issue 1, January-February 2025
Published On 2025-02-21
Cite This Study of Sentiment Analysis for Analyzing Human Behavior - Manjiri S Deshmukh, Dr. Mukta Dhopeshwarkar, Dr. Swapna Kolhatkar, Sarika Swami - IJFMR Volume 7, Issue 1, January-February 2025. DOI 10.36948/ijfmr.2025.v07i01.37158
DOI https://doi.org/10.36948/ijfmr.2025.v07i01.37158
Short DOI https://doi.org/g85s2c
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