Can Twitter state us how people are feeling only about the world? GeoMood thinks so.
The application analyses geo-tagged Tweets only about the the world using the AFINN-111 give-and-take list. The AFINN listing contains 2,477 words in addition to phrases inwards the English linguistic communication language which are used to limited sentiment, each give-and-take / phrase rated for the consider expressed.
The AFINN ratings are used past times GeoMood to assign a positive or negative consider to Twitter messages. The messages are in addition to then added to the map amongst a colored marking (green positive sentiments - blood-red negative sentiments). The map sidebar includes a running consider tracker which keeps an overall positive / minus score of the amount full of sentiments expressed inwards all the tracked Tweets.
Twitter is a smashing resources for researching linguistic communication role in addition to people's moods. The Geography of Hate, past times doc Monica Stephens of Humboldt State University, is i of the best examples of a map which analyses Twitter messages to position specific sentiments.
The Geography of Hate map shows the crude oil location of every geocoded tweet inwards the United States, from June 2012 - Apr 2013, which contained i or to a greater extent than of 10 'hate words'. Users of the map tin consider 3 dissimilar oestrus maps, i for homophobic tweets, i for racist tweets in addition to i for anti-diasablity tweets. The user tin too consider private oestrus maps for whatever i of the 10 offensive words.
London Feels is a map visualizing how Londoners experience based on their Twitter messages. The map shows the location of Twitter messages within the M25 which comprise a set out of cardinal words indicating some form of consider (e.g. 'terrible', 'bad', 'good', 'awesome' etc).
Positive tweets are shown on the map inwards blue, negative tweets shown inwards blood-red in addition to average feeling tweets are shown inwards purple. Unlike The Geography of Hate map at that topographic point is no human analysis of the Twitter messages. Therefore the map plainly shows a lot of messages where people are expressing a sentence upon something rather than a consider close their ain country of existence (e.g. 'that film is terrible').
H5N1 to a greater extent than scientific approach is taken by Mappiness. Two academics at the London School of Economics are carrying out query into how the surround affects people's happiness. To attention them get together the information for this query they launched an iPhone app to rails how people are feeling.
If yous download the app yous volition have a notification betwixt i in addition to 5 times a day. The notification volition enquire yous to opened upward the app, briefly written report how you're feeling in addition to who you're with, where yous are, in addition to what you're doing. If you're outdoors in addition to you're happy, you'll too survive asked to lead hold a photograph of your surroundings.
Anyone tin popular off along an midpoint on the query existence gathered past times checking out the Mappiness Google Map. The map shows the outdoor places where Mappiness users lead hold most latterly reported feeling happy. If yous click on an information window yous tin too consider the photograph taken at that happy moment.
