Color and Psychological Functioning with LSTM: The Impact of Colors on Emotional Quotient

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Aayush Upadhyay , Anju Tyagi , Manaswita Tyagi , Nitesh Dhiman , M. K. Sharma


Artificial Intelligence (AI) has become a crucial component of every industry in today's globe. As the demand for computerized intelligence grows, emotional intelligence is perceived and employed by the machine, paving the door for an emerging novel study known as orange computing for humanistic care applications. Through this study, we hope to discover a link between color perception and human emotion, which will aid numerous industries in branding, advertisements, communications, human resource development, and, lastly, promoting societal mental wellness. We propose employing natural language processing, sentiment analysis, opinion mining, and different frequently used classifiers such as Long Short-Term Memory (LSTM), Support Vector Machine (SVM), and Nave Bayes (NB) to work on this. In the future, this method might be used to a larger dataset to explore human behaviour and its distinctive reliance on colours on a broader scale, defining colour technology.

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