working demo
TRANSCRIPT
NeutralOpinionVisualizing how people really feel about net neutrality.
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Geneviève Smith | Insight Data Science NYC | August 2014
Number of comments/complaints
The FCC doesn’t usually get this massive a response
Number of comments/complaints
The FCC doesn’t usually get this massive a response
Raw comments (~250,000 out of 1 million)
Census tallies of houses with internet access
Raw comments (~250,000 out of 1 million)
NLTK (natural language processing toolkit) to build term-document matrix and used tf-idf to normalize
Census tallies of houses with internet access
Raw comments (~250,000 out of 1 million)
NLTK (natural language processing toolkit) to build term-document matrix and used tf-idf to normalize
Census tallies of houses with internet access
Found template comments by identifying identical rows
Raw comments (~250,000 out of 1 million)
NLTK (natural language processing toolkit) to build term-document matrix and used tf-idf to normalize
Scored sentiment using AFINN-111 2,477 English words rated between -5 and +5
Census tallies of houses with internet access
Found template comments by identifying identical rows
Raw comments (~250,000 out of 1 million)
NLTK (natural language processing toolkit) to build term-document matrix and used tf-idf to normalize
Scored sentiment using AFINN-111 2,477 English words rated between -5 and +5
Census tallies of houses with internet access
Found template comments by identifying identical rows
Front end built using Twitter Bootstrap, AWS, and D3
Raw comments (~250,000 out of 1 million)
Why might we care about template responses?
Lower engagement More positive language
Higher engagement More negative language
Lower engagement More positive language
Higher engagement More negative language
Geneviève Smith | Insight Data Science NYC | August 2014
Geneviève Smith | Insight Data Science NYC | August 2014
Geneviève Smith | Insight Data Science NYC | August 2014
Geneviève Smith | Insight Data Science NYC | August 2014
