AI that Understands Us: LLM-Based Emotion and Stress Insights from Online Communication
subject: Classification; Emotion; Healthcare; LLM; Social Chat; Social Media; Stress
description: The large language models (LLMs) show more accurate interpretation of human emotion and psychology from text which is available on the social media chats. This study analyses emotion recognition and stress detection capabilities of fine-tuned LLMs (GPT-2, FLAN-T5 and LLaMA-7B) using text data from social media and conversation logs. The models were tested for performance using the publicly available emotion language datasets, DailyDialog, EmotionX and GoEmotions. The models were evaluated for performance and efficiency using classification accuracy, macro-F1 score, and inference time. The results identify the performance spectrum of the models and the large models' enhanced ability to recognize detailed emotional states. These results offer real world applicability of LLM methodologies to stress detecting and decision-support automated systems in mental healthcare. 2026 IEEE.
creator: Rajak, Akash; Mishra, Siddheshwari Dutt; Vidushi; Bhardwaj, Shashank; Kumar, Amit; Kumar, Sunil
source: International Conference on Innovative Practices in Technology and Management, ICIPTM 2026;
publisher: Institute of Electrical and Electronics Engineers Inc.
date: 01-01-2026
rights: Restricted Access; Hardcopy may be available in the library
relation: ISBN: 979-831954328-8;
language: English
type: Conference paper
coverage: Rajak A., Krishna Institute of Engineering & Technology (KIET), Uttar Pradesh, Ghaziabad, India; Mishra S.D., School of Computer Science and Engineering, Galgotias University, Greater Noida, India; Vidushi, School of Sciences, Christ (Deemed To Be University), Karnataka, Bengaluru, India; Bhardwaj S., Krishna Institute of Engineering & Technology (KIET), Uttar Pradesh, Ghaziabad, India; Kumar A., Krishna Institute of Engineering & Technology (KIET), Uttar Pradesh, Ghaziabad, India; Kumar S., Krishna Institute of Engineering & Technology (KIET), Uttar Pradesh, Ghaziabad, India