Abstract
Emojis are small images that are commonly included in social media text messages. The combination of visual and textual content in the same message builds up a modern way of communication. Emojis or avatars are ways to indicate nonverbal cues. These cues have become an essential part of online chatting, product review, brand emotion, and many more. It also led to increasing data science research dedicated to emoji-driven storytelling. With advancements in computer vision and deep learning, it is now possible to detect human emotions from images. Here we will classify human facial expressions to filter and map corresponding emojis or avatars. Emojifier is software which deals with the classification of facial expressions, text and speech into Emojis or Avatars.
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