SCA2013 Presentation: A Web-Based Content Analysis Tool

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This is a presentation at SCA2013, Karlsruhe, Germany. This shows the design (architecture, database, sketch, wireframe, prototype) of a simple web-based tool that supports asynchronous collaboration among researchers when conducting content analysis on qualitative social media data.

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SCA2013 Presentation: A Web-Based Content Analysis Tool

  1. 1. A Web-Based Tool for Collaborative Social Media Data Analysis Xin Chen, Mihaela Vorvoreanu, Krishna Madhavan {chen654, mihaela, cm}@purdue.edu
  2. 2. Motivation Social Media Discourse
  3. 3. Motivation Hidden Insights On Human Behaviors & Social Phenomenon
  4. 4. Motivation Human generated textual data on social media are: Qualitative Data Large-scale Data
  5. 5. Motivation Human generated textual data on social media are: Qualitative Data Large-scale Data requires qualitative interpretation
  6. 6. Motivation Human generated textual data on social media are: Qualitative Data requires qualitative interpretation Large-scale Data requires large-scale data mining techniques
  7. 7. Goal To build a tool that:
  8. 8. Goal To build a tool that: Acquire social media data.
  9. 9. Goal To build a tool that: Acquire social media data. Integrate qualitative content analysis and data mining techniques to analyze textual data on social media.
  10. 10. Goal To build a tool that: Acquire social media data. Integrate qualitative content analysis and data mining techniques to analyze textual data on social media. Support asynchronous collaboration among researchers.
  11. 11. Existing Tools Social Media Analytics & Monitoring Tools Focus on marketing Do not usually incorporate human input
  12. 12. Existing Tools Qualitative Analysis Tools Expensive Complicated to use Do not acquire social media data
  13. 13. SWAB (Social Web Analytics Buddy) 3 Computation Server 5 1 Social Media Content Web UI API or Web Crawler 2 Data Server 4 Web Server Researchers
  14. 14. SWAB (Social Web Analytics Buddy) 3 Computation Server 5 1 Social Media Content Web UI API or Web Crawler 2 Data Server 4 Web Server Researchers
  15. 15. SWAB (Social Web Analytics Buddy) Twitter search API 3 Computation Server 5 1 Social Media Content Web UI API or Web Crawler 2 Data Server 4 Web Server Researchers
  16. 16. SWAB (Social Web Analytics Buddy) MySQL 3 Computation Server 5 1 Social Media Content Web UI API or Web Crawler 2 Data Server 4 Web Server Researchers
  17. 17. SWAB (Social Web Analytics Buddy) MySQL 3 Computation Server 5 1 Social Media Content Web UI API or Web Crawler 2 Data Server 4 Web Server Researchers
  18. 18. SWAB (Social Web Analytics Buddy) MySQL 3 Computation Server 5 1 Social Media Content Web UI API or Web Crawler 2 Data Server 4 Web Server Researchers
  19. 19. SWAB (Social Web Analytics Buddy) MySQL Classification & Detection Modeling Inter-rater Agreement Computation 3 Computation Server 5 1 Social Media Content Web UI API or Web Crawler 2 Data Server 4 Web Server Researchers
  20. 20. SWAB (Social Web Analytics Buddy) MySQL 3 Computation Server 5 1 Social Media Content Web UI API or Web Crawler 2 Data Server 4 Web Server Researchers
  21. 21. SWAB (Social Web Analytics Buddy) MySQL 3 Computation Server Sample tweets for researchers to analyze 1 Send results API or 5 Web UI back to Web Crawler data server Communicate with Social Media 2 Data computation server Server Content 4 Web Server Researchers
  22. 22. SWAB (Social Web Analytics Buddy) MySQL 3 Computation Server 5 1 Social Media Content Web UI API or Web Crawler 2 Data Server 4 Web Server Researchers
  23. 23. Web UI Design Sketch
  24. 24. Web UI Design Wireframes: the “Overview” tab Project title
  25. 25. Web UI Design Wireframes: the “Overview” tab User account
  26. 26. Web UI Design Wireframes: the “Overview” tab Collaborator List
  27. 27. Web UI Design Wireframes: the “Overview” tab Datasource
  28. 28. Web UI Design Wireframes: the “Overview” tab Multiple datasets streamed using different criteria.
  29. 29. Web UI Design Wireframes: the “Overview” tab Export data and graphs.
  30. 30. Web UI Design Wireframes: the “Overview” tab Multiple visualizations and charts to provide data overview.
  31. 31. Web UI Design Wireframes: the “Analyze” tab Themes emerged from exploring the data.
  32. 32. Web UI Design Wireframes: the “Analyze” tab Choose Sample size.
  33. 33. Web UI Design Wireframes: the “Analyze” tab Analyze tweets and write comment.
  34. 34. Web UI Design Wireframes: the “Result” tab All researchers’ results are aggregated in the background. Collaboration happens asynchronously. Reliability measures are computed.
  35. 35. Web UI Design Wireframes: the “Result” tab Classification models can be trained based on the qualitative input.
  36. 36. Web UI Design Wireframes: the “Model Application” tab Apply the trained model to a new dataset to detect similar data as in dataset1 from dataset2.
  37. 37. Web UI Design Wireframes: the “Model Application” tab Choose how to explore the detected data from the new dataset: view list of tweets, user accounts, or geomap.
  38. 38. Simple Working Prototype of “Analyze” Tab Feature ! Demo
  39. 39. Future Work
  40. 40. Future Work Design features to better support data exploration.
  41. 41. Future Work Design features to better support data exploration. Explore NoSQL database to handle large datasets.
  42. 42. Future Work Design features to better support data exploration. Explore NoSQL database to handle large datasets. Implement more sophisticated data mining and visualization features.
  43. 43. Q &A Thank you!

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