Synthetic Africa Telecom Social Media Sentiment (Nigeria)

Synthetic data: 150,000 generated social-media posts about Nigerian telecom operators (MTN, Airtel, Glo, 9mobile), published on Hugging Face by THUgewu as 'africa-synth'. The posts are not real user content. The file groups them into 978 rows by platform, operator, city and sentiment, with one list per field (post ID, time, text, issue category, likes, shares, comments, reach, sentiment score, operator response). Suitable for testing sentiment and customer-service pipelines, not for studying real users.

#Nigeria#Synthetic data#Telecom

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Analytics

Content metrics

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

sentiment scoreμ -0.078 ± 0.564
min -1max 1
low 32%medium 35%high 33%
likesμ 481.674 ± 290.823
min 0max 1K
retweetsμ 251.82 ± 140.796
min 0max 500
commentsμ 101.861 ± 60.327
min 0max 200
reachμ 24.3K ± 14.7K
min 120max 49.9K
3.8
Flesch–Kincaid grade
US school grade level
4.9
Automated readability index
Frequent terms
mtndataairtelnetworkglo9mobileplansbestcarecustomerportnewbalancechecknumberavailablefastimpressedspeedsissuequicklyresolvedthankcallsdaysdroppingfrustratinghappeningkeepsbillcoverageexplaingreathighmonthnigeriadisappointsreliablebrowsefinishedhourslikerobberychargedpickspoorrechargeservicetwiceuseless
Topic clusters

Topic 0

network
bad
kaduna
kano
enugu
ilorin
city
benin

Topic 4

port

Topic 6

available
lagos
ibadan
aba
ilorin
city
benin
abuja

Topic 7

network

Computed over the full corpus.

Record

Catalog key
africa_telecom_sentiment
Authors
THUgewu
Year
2025
Source paper
Africa Synthetic Telecom Social Media Sentiment Datasets — Nigeria
License
Academic Use (LicenseRef-Research-Only)
Records
150,000
Languages
en
Collected
2025 (2020s)
Tasks
Sentiment classification inferred
Region
Nigeria · Sub-Saharan Africa (inferred: named in the description)

Provenance

Originally published at
https://huggingface.co/datasets/THUgewu/africa-synth-telecom-social-media-sentiment-dat... link checked
Hosted copy
Mirrored on echo.directory on 2026-10-02, 17.6 MB across 1 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}
}

@dataset{africatelecom2025,
  title     = {Africa Synthetic Telecom Social Media Sentiment Datasets — Nigeria},
  author    = {THUgewu},
  year      = {2025},
  publisher = {Hugging Face},
  url       = {https://huggingface.co/datasets/THUgewu/africa-synth-telecom-social-media-sentiment-datasets-nigeria}
}

APA

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

THUgewu (2025). Synthetic Africa Telecom Social Media Sentiment (Nigeria) [Data set]. https://africa-telecom-sentiment.echo.directory/

MLA

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

THUgewu. Synthetic Africa Telecom Social Media Sentiment (Nigeria). 2025, africa-telecom-sentiment.echo.directory/.

BibTeX · RIS · CSL-JSON

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