1. VISUALIZING TEXT Kristen Kleckner

2. REQUIREMENTS  “Develop an application that represents complex data sets in visual and understandable ways.”  Requirements  Visual attributes to describe features  Large data sets  General enough to run on any data set  Visuals should be clickable  Suggestions  Possible Twitter integration

3. EARLY IDEAS  C++ for analyzing and C# for visuals  Examining Dave Ferris’s project  Improve run time for large files  Improve visuals

4. OVERVIEW PHP Gather Tweets Store in text files C++ Analyze Tweets Import files from PHP Store results in text files C# Visualize Tweets Import text files and display the data

5. GATHERING TWEETS  PHP Script to connect to Twitter API  Refine the search  Language  Eliminate retweets  Maximize the number of tweets retrieved  Output results to text files

6. ANALYZING TWEETS  C++ Application  Data Structures  Hash Tables  Heaps  Output results to text files

7. VISUALIZING TWEETS  Document class to hold the data  General statistics page  Examples of each word are loaded in as needed  Randomizing examples so they will always be different

8. DEMONSTRATION

9. WHAT I DIDN’T ACCOMPLISH  Incorporation of color into data visualization  Ability to run on any file

10. METHODOLOGY & STRATEGIES  Learn from the past  Keep it simple  Draw examples from  Past labs  Past projects  Online resources  Assistance from Dr. Pankratz and Dr. McVey

11. KNOWLEDGE  CSCI 220  Hash Tables, Heaps, and Sorts  CSCI 220 and 321  Time analysis  CSCI 350  Designing the visual application

12. EXTENSIONS  Improve visuals  Incorporate Color  Make more frequent words more distinct  Make it run on any file  Incorporate everything into one application

13. ADVICE  Start early  Keep working on it  Try to keep all aspects of your project in mind  Be open and prepared for change

14. QUESTIONS?