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Web-Based Visual Analytics For Social Media Data, Jun Xiang Tee, David S. Ebert
Web-Based Visual Analytics For Social Media Data, Jun Xiang Tee, David S. Ebert
The Summer Undergraduate Research Fellowship (SURF) Symposium
Social media data provides valuable information about different events, trends and happenings around the world. Visual data analysis tasks for social media data have large computational and storage space requirements. Due to these restrictions, subdivision of data analysis tools into several layers such as Data, Business Logic or Algorithms, and Presentation Layer is often necessary to make them accessible for variety of clients. On server side, social media data analysis algorithms can be implemented and published in the form of web services. Visual Interface can then be implemented in the form of thin clients that call these web services for …