Emotion detection from text is a relatively new sub-field of artificial intelligence closely
related to Sentiment Analysis (SA). SA detects positive, neutral, or negative emotions in text …

This paper introduces a cutting-edge framework for personalized chronic pain management,
leveraging the power of artificial intelligence (AI) and personality insights. It explores the …

Emojis, integral to digital communication, often encapsulate complex emotional layers that
enhance text beyond mere words. This research leverages the expressive power of emojis …

Natural Language Processing (NLP) can be used to analyze sentiments and emotions in
realtime language data and give insights to an individual's communication style in real-time …

Both optimism and pessimism are intricately intertwined with an individual's inherent
personality traits and people of all personality types can exhibit a wide range of attitudes and …

Emojis play a nuanced role in digital communication and have a potential to convey
sarcastic intent as they often offer non-explicit and sometimes ambiguous cues. This …

Abstract Text-Based Personality Prediction (TBPP) has garnered increasing attention in
recent years, particularly within the frameworks of the Myers-Briggs Type Indicator and the …

Personality detection has garnered significant attention in recent years, with applications
ranging from personalized user experiences to psychological analysis. This paper presents …

Psychometric NLP relying on textual cues and distinctive markers in writing style within
conversational utterances reveals signs of individual personalities, one of the most …

AI-driven personalisation offers a clear opportunity for creative industries to engage
audiences more effectively. This project seeks to understand how such personalisation can …