Emotion Detection Using Natural Language Processing by Text Classification
Jyoti Jayal, Vijay Kumar, Paramita Sarkar, Sudipta Kumar Dutta · 2025
Emotion recognition is one of the branches within the field of emotion analysis. Advanced emotion analysis is required to identify a sentence as positive, negative, or neutral. Our emotions get more profound as we comprehend the positive or negative tone of the statements or ideas. People communicate their emotions using various methods, such as facial expressions, written language, verbal communication, and bodily movements. Opinions and perspectives form the foundation of individuals’ emotions, actions, and the impact of those emotions on their speech and actions. Linguistics and machine learning are broad areas that include subfields like computational linguistics, natural language processing (NLP), and artificial intelligence (AI). Thanks to Natural Language Processing (NLP), computers are now capable of comprehending, analyzing, and interpreting spoken language. Natural language processing (NLP) has become an essential component of our daily lives due to the widespread adoption of machine translation programs, voice assistants, and search engines. This article examines various machine learning and deep learning techniques to the task of emotion recognition through text classification utilizing natural language processing.