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.
##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_fileTeam 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