Web-Based Visual Analytics for Social Media
| Autor: | Daniel Best, Joseph Bruce, Scott Dowson, Oriana Love, Liam McGrath |
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| Rok vydání: | 2021 |
| Zdroj: | Proceedings of the International AAAI Conference on Web and Social Media. 6:2-5 |
| ISSN: | 2334-0770 2162-3449 |
| Popis: | Social media provides a rich source of data that reflects current trends on a multitude of topics. The data can be harvested from Twitter, Facebook, blogs, and other social applications. The high rate of adoption of social media has created a domain that is difficult to analyze, due to the ever-expanding volume of data. Information visualization is key in drawing out features of interest in social media. The Scalable Reasoning System is an application that couples a back-end server equipped with analysis algorithms and an intuitive visual in- terface to allow for investigation. We provide a componentized system that can be rapidly adapted to user needs. The in- formation in which they are most interested is featured prominently in the application. As an example, we have developed a weather and traffic monitoring application for use by emergency operators in the city of Seattle. |
| Databáze: | OpenAIRE |
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