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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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File | Description | Size | Format | |
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FYP_Report.pdf Restricted Access | 2.52 MB | Adobe PDF | View/Open |
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