CrisisNLP — Landslides_Worldwide_en

A Twitter dataset of 4,487 tweets from Landslides_Worldwide_en, collected by CrisisNLP Research Group for Landslides_Worldwide_en crisis. Each record contains tweet text, humanitarian category label, timestamp, user metadata. Crisis-related tweets from the Landslides_Worldwide_en event. Suitable for crisis informatics, humanitarian response, text classification.

#Crisisnlp#Humanitarian category#Landslide

Download withheld (licence: tweet IDs only) BibTeX JSONSimilar datasets

Analytics

8.0
Flesch–Kincaid grade
US school grade level
10.9
Automated readability index
Frequent terms
avalanchelandslideparislikelovechutemissingnewrockpfwdeadavalanchatimeunadayjapannepaldeslizamientohomeraingoodtodaytierrafallhiroshima__fpeoplerescuesnowterraindon2015pormountainchinaglissementkilledrockslidefollownewsfloodvideo__atollfranceroadearthquakeendweekbless
Topic clusters

Topic 0

paris
pfw
tuileries
france
fashion
dior
des
place

Topic 1

come
run
happen
boy
home
kiss
grave
maybe

Topic 2

fuck
bitch
lol
hate
shit
ass
fucking
shut

Topic 3

chute
mort
bless
apr
sol
bles
enfant
terre

Topic 4

avalanche
snow
money
johnny
team
radio
game
glacier

Topic 5

avalancha
valanga
nieve
avalanch
una
hist
associate
roca

Topic 6

bury
avalanche
risk
rescue
snow
dog
high
opposite

Topic 7

deslizamiento
piedra
lodo
lluvia
san
hotel
carretera
dej

Topic 8

colorado
oilers
avalanche
steve
cooper
nhl
center
flame

Topic 9

hiroshima
toll
japan
death
landslide
dead
miss
fear

Topic 10

love
hot
hop
like
cute
face
baby
encore

Topic 11

good
happy
morning
new
holi
nash
nice
thing
Show all 31 topics

Topic 12

look
yesterday
work
girl
rye
beard
lovely
fresh

Topic 13

earthquake
magnitude
region
new
mar
depth
chile
northern

Topic 14

nepal
landslide
flood
victim
survivor
india
declare
massive

Topic 15

salt
lake
north
utah
home
landslide
house
destroy

Topic 16

need
want
wanna
join
type
point
money
shave

Topic 17

brussels
job
brussel
manager
belgium
intelligence
startup
business

Topic 18

fall
rock
long
roll
save
boy
music
summer

Topic 19

chevy
garage
chevrolet
avalanche
ebay
repair
price
traffic

Topic 20

snowslide
snowslip
ios
drop
price
product
differently
clothing

Topic 21

thank
thanks
god
glad
thug
smile
year
goodness

Topic 22

know
right
think
ask
guess
street
lot
mean

Topic 23

sleep
tired
sleepy
pain
asleep
tho
stay
let

Topic 24

terrain
glissement
continuer
hiroshima
bilan
japon
mort
russie

Topic 25

china
dead
miss
people
landslide
missing
village
remain

Topic 26

rockslide
chief
report
frontside
earth
debris
flow
sing

Topic 27

hamper
rain
japan
rescue
effort
landslide
landslidir
japanese

Topic 28

nepal
kill
flood
miss
landslide
person
standard
india

Topic 29

frana
una
sulla
che
morti
fight
abdul
matt

Topic 30

follow
ilysm
marine
sunshine
important
second
support
help
Top hashtags
#pfw101
#paris91
#avalanche35
#aw1527
#kca24
#parisfashionweek24
#np22
#landslide21
#job20
#brussels19
#nepal17
#rock17
#jobs16
#earthquake15
#tweetmyjobs14
#fashion13
#france13
#news13
#nhl13
#nowplaying13
Top emoji
󥟏19

Computed over the full corpus.

Record

Catalog key
crisisnlp-Landslides_Worldwide_en
Authors
Imran, Muhammad; Mitra, Prasenjit; Castillo, Carlos
Year
2016
Source paper
Twitter as a Lifeline: Human-annotated Twitter Corpora for NLP of Crisis-related Messages
DOI / arXiv
10.48550/arXiv.1605.05894
License
See source page for citation/usage terms (CrisisNLP dataset)
Records
4,487
Text corpus
tweet text
Languages
en
Collected
2015 (2010s)
Region
Global (inferred: the platform is used worldwide)

Provenance

Originally published at
https://github.com/ChenBeici/SocialED_datasets/tree/main/raw_data/CrisisNLP 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{https://doi.org/10.48550/arxiv.1605.05894,
  doi       = {10.48550/ARXIV.1605.05894},
  url       = {https://arxiv.org/abs/1605.05894},
  author    = {Imran, Muhammad and Mitra, Prasenjit and Castillo, Carlos},
  keywords  = {Computation and Language (cs.CL), Computers and Society (cs.CY), Social and Information Networks (cs.SI), FOS: Computer and information sciences, FOS: Computer and information sciences},
  title     = {Twitter as a Lifeline: Human-annotated Twitter Corpora for NLP of Crisis-related Messages},
  publisher = {arXiv},
  year      = {2016},
  copyright = {arXiv.org perpetual, non-exclusive license}
}

APA

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

Imran, M., Mitra, P., & Castillo, C. (2016). CrisisNLP — Landslides_Worldwide_en [Data set]. https://doi.org/10.48550/arXiv.1605.05894

MLA

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

Imran, Muhammad, et al. CrisisNLP — Landslides_Worldwide_en. 2016, doi.org/10.48550/arXiv.1605.05894.

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