Monthly Twitter N-grams (2013-2023)

A Twitter (English corpus, 2B+ tweets) dataset of 11 years of monthly n-gram frequency counts (2013-2023), collected by Zenodo contributors via Twitter corpus analysis. Each record contains n-gram text, n-gram type (1=unigram, 2=bigram, etc.), monthly frequency count; both case-sensitive and lowercase variants. Monthly n-gram frequency distributions from over 2 billion English tweets spanning 2013-2023, enabling longitudinal linguistic trend analysis on Twitter at scale. Suitable for longitudinal linguistic analysis, trending topic detection, language change over time, Twitter vocabulary evolution, NLP corpus statistics, temporal word frequency research.

#Language change#Longitudinal#N gram#Word frequency

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Analytics

Data availability: Basic stats only — non-standard dataset format

  • Time-series of aggregate counts rather than individual records
  • Dataset has no analyzable natural language fields

Monthly n-gram frequency counts from 2B+ English tweets. Each year is a tar archive of monthly TSV.gz files. Case-sensitive and lowercase variants both available.

11
Years covered
132
Months of data
2B+ English tweets
Tweet corpus
Case-sensitive + lowercase
Variants
2013–2023
Date range
Top N-grams (2013-01 sample)
.9.2K
I6.6K
,5.9K
to5.7K
the5.4K
!4.7K
a4.7K
you4.3K
:3.7K
and3K
my2.8K
"2.7K
in2.7K
?2.7K
is2.6K

Record

Catalog key
twitter-ngrams
Authors
Dittfeld, Elso; Jäschke, Robert
Year
2025
Source paper
Monthly Twitter n-grams generated from a corpus of more than 2 billion English tweets (2013-2023)
DOI / arXiv
10.5281/zenodo.15736201
License
CC BY 4.0 (CC-BY-4.0)
Records
132
Languages
en
Collected
2013-01 to 2023-12 (2010s, 2020s)
Region
Global (inferred: the platform is used worldwide)

Provenance

Originally published at
https://zenodo.org/records/15736201 link checked
Hosted copy
Mirrored on echo.directory on 2026-10-21, 12.3 GB across 22 files. Checksums in MANIFEST.json.

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/10.5281/zenodo.15736201,
  doi       = {10.5281/ZENODO.15736201},
  url       = {https://zenodo.org/doi/10.5281/zenodo.15736201},
  author    = {Dittfeld, Elso and Jäschke, Robert},
  keywords  = {Social Media, Twitter, n-gram},
  language  = {en},
  title     = {Monthly Twitter n-grams generated from a corpus of more than 2 billion English tweets (2013-2023)},
  publisher = {Zenodo},
  year      = {2025},
  copyright = {Creative Commons Attribution 4.0 International}
}

APA

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

Dittfeld, E., & Jäschke, R. (2025). Monthly Twitter N-grams (2013-2023) [Data set]. https://doi.org/10.5281/zenodo.15736201

MLA

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

Dittfeld, Elso, and Robert Jäschke. Monthly Twitter N-grams (2013-2023). 2025, doi.org/10.5281/zenodo.15736201.

BibTeX · RIS · CSL-JSON

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