Sanders Twitter Sentiment Corpus

Niek Sanders' hand-classified corpus of tweets about Apple, Google, Microsoft and Twitter from October 15 to 20, 2011, each labelled positive, negative, neutral or irrelevant. Sanders Analytics released 5,513 tweet IDs with labels; 5,113 of them have text in the hydrated copy on GitHub (zfz/twitter_corpus), which ECHO uses, alongside the original release. Useful as a small, early benchmark for brand sentiment. Released free for research; no licence stated.

Download withheld (licence review) BibTeX JSONSimilar datasets

Analytics

Content metrics

5,113 records scored

sentiment labelavg 1.65 / 3
0std 1.053
topic labelavg 1.43 / 3
0std 1.113
8.1
Flesch–Kincaid grade
US school grade level
10.5
Automated readability index
Frequent terms
googlemicrosofttwitterappleandroidnexussamsungnewiphonequegalaxysandwichcreamicewindowsphonefacebookicssirilikeballmersteveappstoreicecreamsandwichios5paratimecongalaxynexusnexusprimeioscloudgreatyahooporvideofreelovegoodsearchpeopleuseloldonthankstechipadiphone4sneed
Topic clusters

Topic 0

microsoft
cloud
windows
kinect
sharepoint
een
xbox
voor

Topic 1

twitter
que
por
para
mas
esta
facebook
tengo

Topic 2

twitter
facebook
lol
like
tweet
follow
people
follower

Topic 3

iphone
icloud
update
ios
app
ipad
new
imessage

Topic 4

nexus
samsung
galaxy
android
google
ics
galaxynexus
dhilipsiva

Topic 5

google
seo
bing
search
online
tip
marketing
wallet

Topic 6

store
wait
service
genius
thank
line
customer
macbook

Topic 7

google
samsung
galaxynexus
android
nexus
galaxy
nuevo
das

Topic 8

nexusprime
google
sur
pour
les
est
nouvelle
dan

Topic 9

ballmer
yahoo
steve
ceo
microsoft
steveballmer
buy
android

Topic 10

siri
network
connect
video
iphone
ask
need
voice

Topic 11

omnitouch
touch
microsoft
surface
turn
hand
screen
keyboard
Show all 16 topics

Topic 12

night
sleep
goodnight
twitter
bed
good
dark
tired

Topic 13

windows
nokia
phone
windowsphone
mango
microsoft
phones
device

Topic 14

twitter
world
tweetdeck
tweet
dead
log
symbol
mother

Topic 15

sandwich
ice
cream
android
google
sdk
announcement
round
Top hashtags
#google1.4K
#microsoft1.4K
#twitter1.3K
#android498
#samsung203
#apple134
#ics126
#facebook124
#icecreamsandwich106
#nexus96
#galaxynexus87
#nexusprime87
#ios570
#iphone56
#siri55
#dhilipsiva53
#windows51
#skype50
#teamfollowback49
#iphone4s48
Top emoji
😂8
👦2
👧2
👨2
👩2
👮2
👱2
👲2
👳2
👴2
👵2
👶2
👷2
👸2
💂2
Company
microsoft1.4K
google1.3K
twitter1.3K
apple1.1K
Sentiment
  • neutral2.3K (45.6%)
  • irrelevant1.7K (33.0%)
  • negative572 (11.2%)
  • positive519 (10.2%)
Tweets per day
01K2K3K2011-10-152011-10-162011-10-172011-10-182011-10-192011-10-20DayTweetsTweets per day, 2011-10-15: 141Tweets per day, 2011-10-16: 270Tweets per day, 2011-10-17: 368Tweets per day, 2011-10-18: 363Tweets per day, 2011-10-19: 2,681Tweets per day, 2011-10-20: 1,290

Computed over the full corpus.

Record

Catalog key
sanders-twitter-sentiment
Authors
Sanders, Niek J.
Year
2011
Source paper
Sanders-Twitter Sentiment Corpus
License
Free for research (Sanders Analytics); no licence stated (LicenseRef-Research-Only)
Records
5,113
Nodes are
unknown
Edges are
unknown
Text corpus
tweet text
Languages
en
Collected
2011-10-15 to 2011-10-20 (2010s)
Tasks
Text classification (multi-class; topic_label) inferred, Sentiment classification (multi-class; sentiment_label) inferred
Region
Global (inferred: the platform is used worldwide)

Provenance

Originally published at
https://github.com/zfz/twitter_corpus link checked

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{sanders2011,
  title     = {Sanders-Twitter Sentiment Corpus},
  author    = {Sanders, Niek J.},
  year      = {2011},
  publisher = {Sanders Analytics LLC}
}

APA

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

Sanders, N. J. (2011). Sanders Twitter Sentiment Corpus [Data set]. https://twitter-brand-sentiment-2011.echo.directory/

MLA

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

Sanders, Niek J. Sanders Twitter Sentiment Corpus. 2011, twitter-brand-sentiment-2011.echo.directory/.

BibTeX · RIS · CSL-JSON

Similar datasets 9 all with scores →