Please use this identifier to cite or link to this item: https://hdl.handle.net/10356/144971
Title: KANDINSKY : visualizing emotions in social conversations
Authors: Sri Ashwari Rajkumar Pillai
Keywords: Engineering::Computer science and engineering
Issue Date: 2020
Publisher: Nanyang Technological University
Project: SCSE19-0572
Abstract: Social media today is used by at least one third of the world’s population. The use of social media has been on a rise since the early 2000s. Over these years, it has evolved into a powerful communication tool which allows one to share content, ideas and thoughts openly and freely. Social media being a place which provides one with freedom of speech, it attracts one to engage in social conversations online. KANDINSKY Mobile application provides a visualization of these social conversations. In these social conversations where everyone is being expressive, there are many types of sentiment being let out. It will be meaningful to analyze and visualize the sentiments of these social conversations. In this project, the sentiments involved in the social conversations will be analyzed using Sentiment Analysis and will be visualized on top of the current visualization of social conversations in KANDINSKY Mobile. Visualizing these sentiments will help unfold social patterns and behaviors and help people make better sense out of the social world.
URI: https://hdl.handle.net/10356/144971
Schools: School of Computer Science and Engineering 
Fulltext Permission: restricted
Fulltext Availability: With Fulltext
Appears in Collections:SCSE Student Reports (FYP/IA/PA/PI)

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