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Veracity is an essential key in research and development of innovativeproducts. Live Emotion analysis and verification nullify deceit made tocomplainers on live chat, corroborate messages of both ends in messaging appsand promote an honest conversation between users. The main concept behind thisemotion artificial intelligent verifier is to license or decline messageaccountability by comparing variegated emotions of chat app users recognizedthrough facial expressions and text prediction. In this paper, a proposedemotion intelligent live detector acts as an honest arbiter who distributesfacial emotions into labels namely, Happiness, Sadness, Surprise, and Hate.Further, it separately predicts a label of messages through textclassification. Finally, it compares both labels and declares the message as afraud or a bonafide. For emotion detection, we deployed Convolutional NeuralNetwork (CNN) using a miniXception model and for text prediction, we selectedSupport Vector Machine (SVM) natural language processing probability classifierdue to receiving the best accuracy on training dataset after applying SupportVector Machine (SVM), Random Forest Classifier, Naive Bayes Classifier, andLogistic regression.

Lie-Sensor: A Live Emotion Verifier or a Licensor for Chat Applications using Emotional Intelligence