search

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
2 stars 3 forks source link

Project stats for press release #57

Open gyachdav opened 8 years ago

gyachdav commented 8 years ago

Fellas, as part of the media blitz we're planning there will be a press release that will throw some big numbers at the readers. Can you provide some impressive statistics about the data your tools processed e.g. our crawler fetched 2M tweets and 10M sentiments keyword processed. Any thing that you think might be interesting IS interesting.

kajo404 commented 8 years ago

Maybe that we process information about over 100 Characters from the show every day?

kajo404 commented 8 years ago

@gyachdav I just used the new popular character list and the number of characters analyzed is 449 now.

kajo404 commented 8 years ago

and back to 357

gyachdav commented 8 years ago

can you post some interesting data like:

kajo404 commented 8 years ago

number of tweets analyzed:

different languages

peak season/episode low season/episode average per episode in total are we seeing more negative or positive tweets?