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).
Hey dat please refactor this one.
The error-handling is not what we discussed or what I meant it to be. I started to do some comments in the first columns but later I stopped. It can be that I've misunderstood some points, but if the Travis-Tests are failing, please make absolutely sure that there are no bugs in your code. At the moment I wouldn't merge it. There are many things unclear and unfinished.
It does not help the others to push this unfinished.
Hey dat please refactor this one. The error-handling is not what we discussed or what I meant it to be. I started to do some comments in the first columns but later I stopped. It can be that I've misunderstood some points, but if the Travis-Tests are failing, please make absolutely sure that there are no bugs in your code. At the moment I wouldn't merge it. There are many things unclear and unfinished. It does not help the others to push this unfinished.