https://github.com/omarsar/emoviz
:bar_chart: A visualization tool for interest analysis via emotion detection. :bar_chart:
https://github.com/omarsar/emoviz
Last synced: 7 months ago
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:bar_chart: A visualization tool for interest analysis via emotion detection. :bar_chart:
- Host: GitHub
- URL: https://github.com/omarsar/emoviz
- Owner: omarsar
- Created: 2016-04-26T08:44:00.000Z (over 9 years ago)
- Default Branch: master
- Last Pushed: 2016-06-12T04:26:02.000Z (over 9 years ago)
- Last Synced: 2025-01-23T06:22:27.957Z (9 months ago)
- Language: JavaScript
- Homepage: http://bit.ly/emoviz
- Size: 1.44 MB
- Stars: 3
- Watchers: 1
- Forks: 1
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
Awesome Lists containing this project
README
## A visualization tool for interest analysis via emotion detection
A Research Project by [IDEALab](https://github.com/IDEA-NTHU-Taiwan)
Presented in [ASONAM 2015](http://asonam.cpsc.ucalgary.ca/2015/)
## Abstract
Today, most personalized and recommendation services are built around interest extraction models but the outputs of these algorithms are ambiguous in nature. This makes it difficult to understand what users are personally interested in and more importantly what they are feeling towards these interests and how their interests transition through time. By studying both users' interests and emotions, simultaneously, one can further investigate the motivation behind these interests. Such findings can be useful to build better interest extraction models and algorithms that leverage personalized and recommendation services (e.g., ads. targeting, e-commerce and dating sites). In this paper, we propose the demonstration of a web visualization tool - EmoViz - which facilitates the further exploration of users' interests and their emotions at a global scale. Such tool, through the use of various visual components, aims to alleviate the problem of understanding what users of the world are interested in and the motivations behind their interests and feelings.
[Read Whole Paper](http://dl.acm.org/citation.cfm?id=2808916)
## Demo
[EmoViz](http://bit.ly/emoviz)
## Dashboard Screenshot
## Contributors
* [Elvis Saravia](http://elvissaravia.com/) - Research and System Design
* [Carlos Argueta](https://idea.cs.nthu.edu.tw/people.html) - Emotion API
* [Yi-Shin Chen](http://www.yishin.info/) - Advisor
## TODO
1. Build real-time capabilities
2. Timeline needs more adjusting capabilites.
3. Dynamic Word Cloud
4. Larger dataset
5. Backend (API) connected with Twitter API.
For questions please email: ellfae@gmail.com