Emotion Detection and Recommender System using Machine Learning

With the expansion of online community, textual data has emerged as the primary medium for human-machine and human-human interaction. Recognizing emotions existing in the communication or emotions of the engaged users to enhance the user experience is one such crucial foundation in humanizing such interaction. Humans are capable of expressing their feelings through speech, writing, and facial expressions. The endeavor of identifying emotions in text texts is primarily a classification problem that incorporates principles from machine learning and natural language processing. In applications like chatbots and customer service forums identifying emotions from a text authored by a human is crucial. In our proposed method, we used web development, where text was accepted from the user through website, and machine learning was used to classify the text supplied to determine emotion. The system suggests websites, video links, motivational quotations, etc. based on emotion that the machine learning algorithm has identified.