Fullscreen view of map
Fullscreen view of “positive” Tweet map
Fullscreen view of “negative” Tweet map
Fullscreen view of “positive” Tweet by constituency map
Fullscreen view of “negative” Tweet by constituency map
The initial map shows clusters of markers indicating location from which Tweets have been sent. Zoom in to see more detail and zoom out to see a global perspective.
GREEN markers represent locations of people Tweeting POSITIVE messages about Jeremy Corbyn.
RED markers represent locations of people Tweeting NEGATIVE messages about Jeremy Corbyn.
The “Layers” icon (top right of map) can be used to view only Positive, Only Negative or All Tweets.
Where there are a lot of Tweets from one location, I have spread them out over 1 mile radius (e.g. Tweets from “London”) so that the volume of Tweets can been seen.
I harvest data on a daily basis, which allows you to compare the two candidates’ Tweet world over time. Theresa May does seem to have more interest from Tweeters outside of the UK than Jeremy Corbyn. His non-UK followers tend to be more negative than Theresa’s.
I use VADER, a rule-based Parsimonious Rule-based Model forSentiment Analysis of Social Media Text to assess each Tweet for sentiment. VADER is described in a paper by Hutto, C.J. & Gilbert, E.E. (2014). VADER: A Parsimonious Rule-based Model for Sentiment Analysis of Social Media Text. Eighth International Conference on Weblogs and Social Media (ICWSM-14). Ann Arbor, MI, June 2014.