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Feminism Tweet Attitude Analysis - Big Data Week Hackathon Montreal 2015 Project

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twitfem

Feminism Tweet Analysis - Big Data Week Hackathon Project

###Attitude analysis and corpus analytics of 1M tweets about feminism #

Link to slides.com presentation

Using a corpus of 988,000 tweets retrieved from Twitter's Search API from January to April 2015 containing the words "feminism", "feminist" or "feminists", we trained a classifier to label them as pro-feminist, anti-feminist or neither (regardless of sentiment), and determined the most characteristic words used by each group with the log-likelihood keyness method.

GRAPHS:

##HPC McGill Instructions

####To move files back and forth #####GET a file

scp -P 57328 [email protected]:/home/class03/path_to_file /local_path_to_put_file

#####PUT a file

scp -P 57328 /local_path_to_put_file [email protected]:/home/class03/path_to_file

Team User Name: class03

Assigned Node: aw-4r12-n03.hpc.mcgill.ca

(ssh requires port flag -p 57328)

password: ask Dave

running notebook (requires password)

you need to accept the cerificate

##RadialPoint Repo on github

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