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Social networks have become an element of individual life in the present era and have many applications in economic, social, commercial, and even educational and academic fields and aspects. Daily use of various messaging applications affects people's lifestyles, and the usage method of such applications differs depending on the user's personality. WhatsApp messenger is one of the most popular social media applications widely used by people enabling them to send messages in text, voice, image, and emojis. In this paper, a Long Short-Term Memory (LSTM) neural network is designed to identify the personality trait of WhatsApp users by analyzing the most frequently used emojis. The users are classified into 16 classes involving four psychological aspects considered as introverted or extroverted, happy or depressed, optimistic or pessimistic, and neurotic or calm. For this purpose, 13,688 samples were …