Keywords
Text analysis
Natural language processing
How to Cite
Abstract
Emotion recognition in text is a rapidly evolving field with applications across various domains, including sentiment analysis, customer feedback analysis, and mental health assessment. This paper provides an overview of the techniques used for emotion recognition in text and explores its applications. We discuss the challenges faced in accurately identifying and categorizing emotions in written language and examine the implications for improving human-computer interaction and personalized services. Through this analysis, we aim to highlight the importance of emotion recognition in text and its potential impact on enhancing user experiences and decision-making processes.
References
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Tatineni, Sumanth. "Recommendation Systems for Personalized Learning: A Data-Driven Approach in Education." Journal of Computer Engineering and Technology (JCET) 4.2 (2020).