Rostlab / JS16_ProjectD_Group5

Joffrey Baratheon is one of the most loathed characters in TV history. As a matter of fact people were celebrating his TV death on Twitter. We are interested to learn more on how people feel about different characters by analyzing tweets mentioning GoT characters. In this project you will be analyzing Twitter feeds across a timeline, you will look for the name of GoT characters in that feed and try to identify whether the tweet is positive or negative. You can then generate a metric that evaluates what is the accumulated sentiment expressed on Twitter for that given character at a given point in time, and what is the trend (positive, negative). It will be interesting to intersect the sentiments for characters following the airing of a certain episode (you can easily get the airing date for an episode from the database constructed in Project A).
GNU General Public License v3.0
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Trivial functions-output get tested #62

Closed jcebel closed 8 years ago

jcebel commented 8 years ago

No error handling yet(Will come)! If some of the access-tokens are changed before monday evening you may ask @Logarythms. He knows how to run the update. I will be away on eastern, but the guys from D5 know how to find me if something urgent happens.