https://healthmsgu.me/

• User can enter search terms in a search field
• Tweets are pulled using Twitter's API
• An error message is displayed if no pertinent messages are found
• A loading screen is displayed as the web platform searches and analyzes data
• User can move seamlessly between visualizations using tabs
• Frequency of words associated with search terms can be viewed (as table?)
• A map will display the location of where the Tweets are being generated
• User can view data as a word cloud based on frequency
• User can learn more about the project by clicking "About Us" from the navigation bar
• User can download the data for their personal use (File type?)
• User can share the word plot via email or social media

• User can gather data from other social media outlets such as Facebook and reddit (web-scraping)
• User can customize generated word cloud, eg: change fonts, colors, isolate certain words
• There can be a history of previous word clouds plotted with dates (e.g the most recent cloud or the most frequently plotted word association) (Database configuration)
• Web platform can pull more than 7 days of Tweets
• Timeline can display whether the Tweets are positive or negative (Machine learning)
• 3rd party authentication for user login (Facebook, Google, security)

• Host website
• Generate an informative blurb about HealthMsgU
• Create a user interface to allow the user to have search input
• Word Cloud generator: generates a word cloud depicting the most common words associated with HIV on Twitter
• Implement Google Maps API to display Tweet locations

Web host: GitHub pages

Languages used: HTML, CSS, JS

API used: Twitter, Google Maps, Word cloud(?)

Resources:
Hedonometer
Word cloud resource
A great article illustrating why our project is relevant

Home Page

Navigation Tabs

Word Cloud

Word Association

Message Map

Message Timeline

About Us

Contact Us