• Mr. Deepak V. Ulape
• Dr. Urmila R. Pol

The integration of Technology in education and the development of emotional intelligence is important for enhancing academic performance in today's changing educational environment. Within artificial intelligence, Natural Language Processing (NLP) is a subfield that analyzes human language patterns and emotions. By implementing an efficient programming language like Python, educators can use NLP techniques to personalize learning experiences, provide tailored feedback, and promote emotional well-being in the classroom. Emotional intelligence encompasses self-control, self-awareness, relationship management, and social awareness and is necessary for both personal development and academic success. The study investigates how assessing student interactions, spotting emotional cues, and offering timely support can all help to improve emotional intelligence through NLP-driven approaches. Sentiment analysis is a valuable tool that educators can use to detect stress, anxiety, and disengagement in their students. Academic success and personal growth depend heavily on emotional intelligence, which includes self-regulation, social awareness, relationship management, and self-awareness. NLP techniques can aid in its development by examining student interactions, recognizing emotional cues, and offering prompt assistance. The objective of this study is to demonstrate how sentiment-aware group formation and empathetic communication can be fostered in collaborative learning environments through Python-based natural language processing applications. Sentiment analysis of conversations and peer reviews can help achieve this, encouraging inclusiveness and productive discourse. In summary, NLP and emotional intelligence combined have the power to completely transform teaching methods, fostering emotionally resilient students and adaptive learning environments that prepare them for success in the digital age.

Academic performance, Education ,Emotional Intelligence, Natural language Processing, Python , Sentiment Analysis.

"Enhancing Academic Performance through Natural Language Processing and Emotional Intelligence", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.11, Issue 6, page no.h181-h191, June-2024, Available :http://www.jetir.org/papers/JETIR2406719.pdf

"Enhancing Academic Performance through Natural Language Processing and Emotional Intelligence", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.11, Issue 6, page no. pph181-h191, June-2024, Available at : http://www.jetir.org/papers/JETIR2406719.pdf