Emojifier - A Multi-Modal Emotion Recognition System Using Deep Learning and NLP

Emojis are the modern-day equivalent of emoticons. The necessity for them developed from the difficultyof conveying emotions and expressions in written form. The Unicode Consortium standardized these twodimensional visual representations of commonplace things as part of Unicode 6.0 in 2010. Emoji spreadrapidly over the world, becoming an integral component of Western popular culture in particular.Practically every network and messaging app now uses it. One of the most important functions of emojisin internet communication is the expression of emotion. The number of emojis has grown to 2,666 as ofJune 2017, the latest data available on Emojipedia. To open up conversations about emotion recognitionsystems from the science behind the technology to their social impacts. To develop a model using filtereddata gives better predictions. To promote public understanding of these technologies and citizeninvolvement in their development and use. To bring public understanding and awareness in thedevelopment of the emotion recognition systems and their social impact. To identify the intensity of painof a deaf patient. For example: It can be used by Video conferencing doctors.