Using Emojis to Analyze User Reviews
School Name
South Carolina Governor's School for Science & Mathematics
Grade Level
12th Grade
Presentation Topic
Computer Science
Presentation Type
Mentored
Abstract
Mobile app development teams must be prepared to make changes quickly with a small team to work with, so reviews are a very important aspect of development. However, when star ratings are not available, developers have to find another way to judge the sentiment behind a message. This is where emojis come into play; my research was about trying to determine how someone felt about an app based on the emojis they use in the review. For that, I had to create a raw feedback paster that would store all the reviews in a database. This program would allow for reviews to be added, deleted, and modified and make it easier to analyze reviews. As this project is ongoing, theoretically the result will be a way to easily automate analyzing reviews of a product using previous research into the sentiment and emotion behind emojis. Since change is required to be quick with a small task force, this development would make work easier for app developers.
Recommended Citation
Taylor, Houston, "Using Emojis to Analyze User Reviews" (2020). South Carolina Junior Academy of Science. 132.
https://scholarexchange.furman.edu/scjas/2020/all/132
Location
Furman Hall 109
Start Date
3-28-2020 12:00 PM
Presentation Format
Oral Only
Group Project
No
Using Emojis to Analyze User Reviews
Furman Hall 109
Mobile app development teams must be prepared to make changes quickly with a small team to work with, so reviews are a very important aspect of development. However, when star ratings are not available, developers have to find another way to judge the sentiment behind a message. This is where emojis come into play; my research was about trying to determine how someone felt about an app based on the emojis they use in the review. For that, I had to create a raw feedback paster that would store all the reviews in a database. This program would allow for reviews to be added, deleted, and modified and make it easier to analyze reviews. As this project is ongoing, theoretically the result will be a way to easily automate analyzing reviews of a product using previous research into the sentiment and emotion behind emojis. Since change is required to be quick with a small task force, this development would make work easier for app developers.
