Can Twitter nation us how people are feeling around the world? GeoMood thinks so.
The application analyses geo-tagged Tweets around the footing using the AFINN-111 give-and-take list. The AFINN listing contains 2,477 words too phrases inwards the English linguistic communication language which are used to limited sentiment, each give-and-take / phrase rated for the persuasion expressed.
The AFINN ratings are used past times GeoMood to assign a positive or negative persuasion to Twitter messages. The messages are too thus added to the map amongst a colored mark (green positive sentiments - ruby negative sentiments). The map sidebar includes a running persuasion tracker which keeps an overall positive / minus score of the amount full of sentiments expressed inwards all the tracked Tweets.
Twitter is a peachy resources for researching linguistic communication purpose too people's moods. The Geography of Hate, past times MD Monica Stephens of Humboldt State University, is 1 of the best examples of a map which analyses Twitter messages to position specific sentiments.
The Geography of Hate map shows the fossil oil location of every geocoded tweet inwards the United States, from June 2012 - Apr 2013, which contained 1 or to a greater extent than of x 'hate words'. Users of the map tin forcefulness out consider 3 dissimilar estrus maps, 1 for homophobic tweets, 1 for racist tweets too 1 for anti-diasablity tweets. The user tin forcefulness out besides consider private estrus maps for whatsoever 1 of the x 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 incorporate a seat out of telephone commutation words indicating some sort of persuasion (e.g. 'terrible', 'bad', 'good', 'awesome' etc).
Positive tweets are shown on the map inwards blue, negative tweets shown inwards ruby too 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 persuasion nigh their ain acre of beingness (e.g. 'that painting is terrible').
Influenza A virus subtype 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 aid them get together the information for this query they launched an iPhone app to runway how people are feeling.
If you lot download the app you lot volition have a notification betwixt 1 too v times a day. The notification volition enquire you lot to opened upwardly the app, briefly study how you're feeling too who you're with, where you lot are, too what you're doing. If you're outdoors too you're happy, you'll besides endure asked to stimulate got a photograph of your surroundings.
Anyone tin forcefulness out drib dead on an center on the query beingness gathered past times checking out the Mappiness Google Map. The map shows the outdoor places where Mappiness users stimulate got most late reported feeling happy. If you lot click on an information window you lot tin forcefulness out besides consider the photograph taken at that happy moment.
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