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 guys. Looking at the server logs (of the api) I see a bunch of:
[Wed Mar 30 2016 00:01:50] [LOG] [Worker 4] Request incoming: /sentiment/find
[Wed Mar 30 2016 00:01:50] [LOG] [Worker 4] 401 - no token sent
Between 21:47 and 1:50. I don't know if this was you, the other twitter group, or someone else. I just wanted to report, in case you were having some issues or spontaneous exceptions in your code, this might be the reason!
sacdallago
commented
8 years ago
Hey guys. Looking at the server logs (of the api) I see a bunch of:
Between 21:47 and 1:50. I don't know if this was you, the other twitter group, or someone else. I just wanted to report, in case you were having some issues or spontaneous exceptions in your code, this might be the reason!