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Rostlab / JS16_ProjectD_Group4

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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Make a log-free or > /dev/null version of the package #121

Open sacdallago opened 8 years ago

sacdallago commented 8 years ago

I'm trying to debug Fs project and although all your logging is nice, it's also sort of mega spamming the console :D Can you have a look at if it's possible to easily re-route the log to something else? A file?

Thx

marcusnovotny commented 8 years ago

Sorry I don't know how our logging works, plus I have to work on the Landing Pages. Currently not doable for me

julienschmidt commented 8 years ago

I'll take a look