Mary Keenan and Sung Park
20 April 2016
#Preparation and Framing 2
##Background and context
- We run sentiment analysis on tweets from different regions in the US and show the average polarity of each region using a choropleth map
- We use Twitter as our source of public opinion
- We search Twitter using both a search term and specified location
- We run sentiment analysis on the list of tweets for each region using Indico’s API
- We find the average polarity of tweets for each region
- We create a choropleth map for data visualization
##Key questions
- What other functionality can we add to this program
- Other way of visualizing sentiment data other than a choropleth map?
- How useful do you think the alternative visualization will be?
- How do we make our map easier to understand (how do we exaggerate slight differences in polarity)?
- Where do we go from here?
##Agenda for technical review session
- We’ll start by describing the agenda for our presentation -- we’ve made a lot of changes since last time
- Next, we’ll describe our process (background and context, UML diagram)
- We’ll show people our prototype
- Then we’ll present our key questions and ask for feedback