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Predictive emoji as a social-technical system for computing human emotions.
Presented by
Xiyue Hu, Ruhan Hou, Megan Hearst, Andrew Peacock
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Explore Our Project
Abstract
Our project examines Predictive Emojis, particularly the algorithm that seeks to present supplementary emojis to your text on messaging platforms. The algorithm parses the language, attributing specific emotional meaning to words, emojis, and phrases, thereby providing emojis that fits the message adequately. Emojis are visual signifiers of emotional context on platforms where physical communication is not part of the equation. At its heart, Predictive Emoji is a fun way to provide additional contextual meaning to an interface that lacks nonverbal and often crucial communication. These algorithms seek to understand and predict users’ sentiments via their words and language, seeking to create an infrastructure where emotions are increasingly computable.
Subpages Overview
We have provided a map of how various social groups interact with the predictive emoji function. On the page, there is also an article introducing the history of emoji building and its benefits and shortcomings.
We further dive into the technical part of the predictive emojis process with a map clarifying the steps of building the algorithm and a short article explaining the map.
We discussed the website with Dr. Jeanine Turner, who is a professor in the Communication, Culture, and Technology Program and holds an Affiliate Professor appointment in the McDonough School of Business. She has provided us with interesting perspectives on the project.
This is the page that contains all the academic sources we have used to build the website. One could use the page to further discover relevant knowledge.