First GOP Debate Twitter Sentiment (CrowdFlower)

First GOP debate sentiment analysis: 13,871 tweets about the Republican presidential primary debate in Ohio in August 2015, as labeled by Figure Eight (CrowdFlower) contributors, who judged whether each tweet was relevant, which candidate it mentioned, which subject it concerned and its sentiment. The publisher says the non-relevant messages were removed, and all 13,871 rows are marked relevant. Sentiment: 8,493 Negative, 3,142 Neutral, 2,236 Positive. Candidate: 11 values plus 96 empty. Each row has the four labels with their confidence values, the author's screen name, the tweet text, retweet count, time, free-text location and time zone; 21 tweets carry coordinates. The package also holds the copy of the data from the folder named kaggle-v2 (Sentiment.csv, 13,871 rows) as its own table.

Download data package README Original files as received BibTeX JSONSimilar datasets

Analytics

The interactive network needs JavaScript.

· graph.json

The full graph has 12,706 nodes; this view shows the 1,000-node sample the pipeline drew for display. Node size is centrality, colour is community.

12.7K
Nodes
12.4K
Edges
7.67e-05
Density
3.5K
Components
-0.1029
Assortativity
1.0%
Reciprocity
6.6K
Bridges
Most central nodes
rwsurfergirl0.1104
realdonaldtrump0.07044
megynkelly0.04235
foxnews0.03117
monaeltahawy0.01322
carlyfiorina0.01267
supermanhotmale0.01141
hillaryclinton0.00952
tedcruz0.00952
govchristie0.00763
Content metrics

13,871 records scored · min–maxmean ± 0.675 σ (the interquartile range if the values are roughly normal)mean

sentiment labelμ 0.549 ± 0.755
min 0max 2
candidate labelavg 1.47 / 10
0std 2.4710
subject labelμ 1.159 ± 2.188
min 0max 11
sentiment confidenceμ 0.757 ± 0.218
min 0.186max 1
low 33%medium 67%high 0%
retweet countμ 45.803 ± 153.976
min 0max 5K
8.5
Flesch–Kincaid grade
US school grade level
11.9
Automated readability index
Frequent terms
gopdebategopdebatesrwsurfergirltrumpfoxrealdonaldtrumpdebatenewsnightcandidatesgoplikemegynkellypeopledonfoxnewsjebbushthinkcruzpresidentrepublicangoddonaldchrisneedaskrubiowantquestionswallacecarsonquestionwomensaidtimeknowwatchingtonightwoncandidatehuckabeerighttedcruzdoesnjobdidnfairmegynamerica
Topic clusters

Topic 0

gopdebate
gopdebates
like
question
think
look
love
know

Topic 1

trump
donald
donaldtrump
gopdebate
like
woman
fat
pig

Topic 2

debate
moderator
gop
night
gopdebate
debatewithbernie
watch
win

Topic 3

night
watch
gopdebate
tonight
video
good
like
game

Topic 4

huckabee
military
tax
pimp
mike
gun
social
kill

Topic 5

fox
news
tweet
foxnews
twitter
piss
watch
gopdebate

Topic 6

carson
ben
brain
racism
race
half
gopdebates
blacklivematter

Topic 7

cruz
ted
rubio
carson
kasich
trump
fiorina
order

Topic 8

rand
paul
christie
chris
hair
calm
donut
williams

Topic 9

abortion
parenthood
planned
pro
life
woman
plannedparenthood
baby

Topic 10

hillary
carly
fiorina
clinton
bernie
carlyfiorina
sanders
gopdebate

Topic 11

stop
attack
speak
legitimate
nail
face
fox
wallace
Show all 24 topics

Topic 12

kelly
megyn
kellyfile
megynkelly
megan
trump
offend
donald

Topic 13

god
blacklivesmatter
hypocrite
talk
righteous
self
jesus
gopdebates

Topic 14

gop
republicans
republican
party
gopdebate
candidate
vote
rnc

Topic 15

candidate
vote
election
poll
gopdebate
campaign
speak
voter

Topic 16

nomination
hand
plan
support
gopdebat
ask
megyn
win

Topic 17

conduct
disappointing
balanced
fair
news
debate
fox
favorite

Topic 18

elevator
music
remind
listen
hear
jeb
bush
gopdebate

Topic 19

woman
white
politically
correctness
america
correct
political
americans

Topic 20

punch
wallace
chris
face
want
gopdebate
chrischristie
loser

Topic 21

rubio
marco
bless
god
democrats
ear
find
dear

Topic 22

makeup
obviously
influence
field
try
republican
news
fox

Topic 23

kasich
john
aware
sense
mailman
dad
letter
decade
Top hashtags
#gopdebate9.1K
#gopdebates5.3K
#tcot234
#trump222
#gop184
#g183
#gopdebat167
#tedcruz154
#foxnews143
#donaldtrump135
#kkkorgop102
#gopd93
#blacklivesmatter91
#trump201677
#foxdebate70
#democraticdebates64
#debatewithbernie56
#p256
#megynkelly54
#gopdeb46
Top emoji
🇸1.8K
🇺1.8K
😂95
💨32
🏻18
🏼16
👎13
👍12
👏12
📢12
🙌10
💀8
🏿7
🐘7
😄7
Candidate mentioned
No candidate mentioned7.5K
Donald Trump2.8K
Jeb Bush705
Ted Cruz637
Ben Carson404
Mike Huckabee393
Chris Christie293
Marco Rubio275
Rand Paul263
Scott Walker259
John Kasich242
Subject
None of the above8.1K
FOX News or Moderators2.9K
Religion407
Foreign Policy366
Women's Issues (not abortion though)362
Racial issues353
Abortion293
Jobs and Economy251
Immigration211
LGBT issues126
Healthcare (including Medicare)67
Gun Control61
Sentiment
  • Negative8.5K (61.2%)
  • Neutral3.1K (22.7%)
  • Positive2.2K (16.1%)

Computed over the full corpus.

Record

Catalog key
gop-debate-sentiment
Authors
CrowdFlower
Year
2015
Source paper
First GOP Debate Twitter Sentiment
License
CC BY 4.0 (Figure Eight 'Data for Everyone' library) (CC-BY-4.0)
Records
13,871
Nodes
12,706
Edges
12,383 (directed)
Nodes are
account
Edges are
mention (author -> @mentioned account)
Attributes
nodes have no attributes; edges have attributes
Text corpus
tweet text
Languages
en
Collected
2015-08-06 to 2015-08-07 (2010s)
Tasks
Text classification (multi-class; candidate_label, subject_label) inferred, Sentiment classification (multi-class; sentiment_label) inferred
From the graph: link prediction, community detection
Region
Global (inferred: the platform is used worldwide)

Provenance

Originally published at
https://www.kaggle.com/datasets/crowdflower/first-gop-debate-twitter-sentiment link checked
Original files as received
The source files, unconverted, kept for reference: mirrored on echo.directory on 2026-10-20, 7.2 MB across 2 files. Checksums in MANIFEST.json. For use, start with the data package below.
Data package
Version 1.0.0 of this dataset as an ECHO Data Package: posts (13,871 rows), annotations (55,484 rows), x_kaggle_sentiment (13,871 rows).
Structure
Labelled data, Text

How to cite

BibTeX

@misc{echo2026,
  title  = {ECHO: Exploratory Compendium of Humanity Online},
  author = {Switzer, Braden and Zafarani, Reza},
  year   = {2026},
  url    = {https://echo.directory},
  note   = {Syracuse University}
}

@misc{crowdflower2015firstgopdeba,
  title        = {First GOP Debate Twitter Sentiment},
  author       = {CrowdFlower},
  year         = {2015},
  note         = {Data for Everyone library, added 2015-08-11},
  howpublished = {\url{https://www.figure-eight.com/data-for-everyone/}}
}

APA

Switzer, B., & Zafarani, R. (2026). ECHO: Exploratory Compendium of Humanity Online [Data repository]. Syracuse University. https://echo.directory

CrowdFlower (2015). First GOP Debate Twitter Sentiment (CrowdFlower) [Data set]. https://gop-debate-sentiment.echo.directory/

MLA

Switzer, Braden, and Reza Zafarani. ECHO: Exploratory Compendium of Humanity Online. Syracuse University, 2026, echo.directory.

CrowdFlower. First GOP Debate Twitter Sentiment (CrowdFlower). 2015, gop-debate-sentiment.echo.directory/.

BibTeX · RIS · CSL-JSON

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