patilakshay227 / Complex-Term-Project Public

The objective was to find the top sections of the news where most of the user group is attracted. Did analysis of user sentiments among different geographical locations. Identified user gender based on username to calculate the difference in the sentiments.

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Name	Name	Last commit message	Last commit date
Latest commit History 67 Commits
Extra	Extra	All Files Organized folder wise	Apr 30, 2018
Graphs	Graphs	All Files Organized folder wise	Apr 30, 2018
Keywords	Keywords	All Files Organized folder wise	Apr 30, 2018
LIWC	LIWC	All Files Organized folder wise	Apr 30, 2018
Location	Location	All Files Organized folder wise	Apr 30, 2018
Named Entities	Named Entities	All Files Organized folder wise	Apr 30, 2018
POSTags	POSTags	All Files Organized folder wise	Apr 30, 2018
Sentiment Analysis	Sentiment Analysis	All Files Organized folder wise	Apr 30, 2018
Sentiments	Sentiments	Sentiment file added	Mar 22, 2018
plotting	plotting	All Files Organized folder wise	Apr 30, 2018
AvgMaleCommentLength.py	AvgMaleCommentLength.py	All Files Organized folder wise	Apr 30, 2018
Facts	Facts	Sentiment queires added for section wise count	Mar 22, 2018
GenderCounts.txt	GenderCounts.txt	Creted seperated folder for plotting	Mar 12, 2018
POSDitribution.py	POSDitribution.py	All Files Organized folder wise	Apr 30, 2018
Queries.txt	Queries.txt	All Files Organized folder wise	Apr 30, 2018
README.md	README.md	Create README.md	Mar 8, 2018
createArticleDB.py	createArticleDB.py	All Files Organized folder wise	Apr 30, 2018
createCommentDB.py	createCommentDB.py	All Files Organized folder wise	Apr 30, 2018
fieldCheck.py	fieldCheck.py	All Files Organized folder wise	Apr 30, 2018
genderExtraction.py	genderExtraction.py	All Files Organized folder wise	Apr 30, 2018
parseJSON.py	parseJSON.py	All Files Organized folder wise	Apr 30, 2018
sectionExtract.py	sectionExtract.py	All Files Organized folder wise	Apr 30, 2018