LAST PROJECT
Published September 9, 2019
How New York Times Commenters Feel about 2020 Democratic Candidates
An analysis of text from comments on opinions pieces on the Times website between August 3-10.
Biden
0.6
Dem
Warren
Other
Yang
Size scales
with number
of comments
considered
Increasing
positive
sentiment
Harris
Buttigieg
Sanders
de Blasio
0.1
Klobuchar
0.7
0.3
Increasing negative sentiment
Candidates on
this line are as liked
as they are disliked
Source: NYT Community API
How New York Times Commenters Feel About 2020 Democrats
Sentiment analysis on Op-Ed comments from August 3-10.
Biden
0.6
Dem
Positive
Warren
Other
Yang
Size scales
with number
of comments
considered
Harris
Buttigieg
Sanders
de Blasio
0.1
Klobuchar
0.7
0.3
Source:
NYT API
Negative
Neutral
NYT Commenters and 2020 Democrats
Sentiment analysis on Op-Ed comments from August 3-10.
Biden
0.6
Dem
Warren
Other
Yang
Positive
Size scales
with number
of comments
considered
Harris
Buttigieg
Sanders
de Blasio
0.1
Klobuchar
0.7
0.3
Source:
NYT API
Negative
Neutral
Methodology: For this project, I scraped web urls for opinion pieces using Selenium, and then queried the Community API at the New York Times. I think isolated proper nouns from the comments and used regex to account for spelling mistakes. Finally, I ran the text through a sentiment analysis library and used that to classify comments.
On the X and Y axes is the harmonic mean of the negative and positive frequencies of scores for comments about Democratic candidates.