2 datasets found
  1. 🏆Uber, FB, Waze, etc US Apple App Store Reviews

    • kaggle.com
    Updated Nov 19, 2023
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    BwandoWando (2023). 🏆Uber, FB, Waze, etc US Apple App Store Reviews [Dataset]. http://doi.org/10.34740/kaggle/ds/4023539
    Explore at:
    CroissantCroissant is a format for machine-learning datasets. Learn more about this at mlcommons.org/croissant.
    Dataset updated
    Nov 19, 2023
    Dataset provided by
    Kaggle
    Authors
    BwandoWando
    License

    https://creativecommons.org/publicdomain/zero/1.0/https://creativecommons.org/publicdomain/zero/1.0/

    Description

    App Reviews

    https://www.googleapis.com/download/storage/v1/b/kaggle-user-content/o/inbox%2F1842206%2Fd4a6033b6bd31af45d5175d02e697934%2FAPPLEAPPS2.png?generation=1700357122842963&alt=media" alt="">

    1. uber-request-a-ride-us- 73787 rows
    2. waze-navigation-live-traffic-us- 26260 rows
    3. facebook-us- 24200 rows
    4. spotify-music-and-podcasts-us- 15580 rows
    5. netflix-us- 11760 rows
    6. pinterest-us- 10860 rows
    7. X-us- 8160 rows
    8. tiktok-us- 2542 rows
    9. tinder-dating-chat-friends-us- 1060 rows
    10. instagram-us- 300 rows

    These reviews are from Apple App Store

    Usage

    This dataset should paint a good picture on what is the public's perception of the apps over the years. Using this dataset, we can do the following

    1. Extract sentiments and trends
    2. Identify which version of an app had the most positive feedback, the worst.
    3. Use topic modelling to identify the pain points of the application.

    (AND MANY MORE!)

    Note

    Images generated using Bing Image Generator

  2. e

    Studie über Facebook-Nutzer Study on Facebook users - Dataset - B2FIND

    • b2find.eudat.eu
    Updated Jul 28, 2025
    + more versions
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    (2025). Studie über Facebook-Nutzer Study on Facebook users - Dataset - B2FIND [Dataset]. https://b2find.eudat.eu/dataset/d6642af7-e32e-54ac-91d9-180c010fdd59
    Explore at:
    Dataset updated
    Jul 28, 2025
    Description

    Die Studie über Facebook-Nutzer wurde von infratest dimap im Auftrag der Konrad-Adenauer-Stiftung durchgeführt. Im Erhebungszeitraum 26. November bis 4. Dezember 2018 wurden 2.041 Facebook-Nutzer in Onlineinterviews (CAWI) zu folgenden Themen befragt: Internetnutzung, Facebook-Gruppen, Facebooknutzung, politische Inhalte auf Facebook, Reaktion auf Inhalte, Bildexperiment und Sonntagsfrage. Die Auswahl der Befragten erfolgte durch eine Quotenstichprobe aus einem Online-Access-Panel. Nutzung verschiedener Internetangebote (Tinder, Facebook, Twitter, snapchat, Instagram, YouTube, Online-Zeitungen, nichts davon); Nutzung offener oder geschlossener Facebook-Gruppen; Facebook-Inhalte zu politischen Themen, zu berufsbezogenen Themen, zu Hobbies, zur Unterhaltung bzw. zu anderen Themen; Art der Facebook-Nutzung (lese/ like/ teile Inhalte, schreibe Kommentare, verbreite eigene Inhalte); politische Facebook-Nutzung (lese/ like/ teile politische Inhalte, schreibe Kommentare zu politischen Themen, verbreite eigenen Inhalt zu politischen Themen); Reaktion auf Facebook- Inhalte bzw. Kommentare (fühle mich informiert, unterhalten, verärgert, provoziert); Zustimmung zu verschiedenen Aussagen zu Facebook (auf Facebook regen mich andere auf, zeige ich anderen ihre Grenzen, kann ich anonym meine Meinung sagen, finde ich viele verschiedene Meinungen, finde ich Meinungen, die sonst unterdrückt werden, traue ich mich Dinge zu sagen/ teilen, die ich sonst nicht sagen würde); Parteipräferenz (Sonntagsfrage); Kommentar (offen) zu einem provozierenden Bild (Split A: Flüchtlinge, Split B: Pegida). Demographie: Geschlecht; Alter (Geburtsjahr); Bildung; Erwerbstätigkeit; berufliche Stellung; Haushaltsnettoeinkommen (gruppiert); Bundesland. Zusätzlich verkodet wurde: lfd. Nummer; Gewichtungsfaktor. The study on Facebook users was conducted by infratest dimap on behalf of the Konrad Adenauer Foundation. During the survey period from November 26 to December 4, 2018, 2,041 Facebook users were surveyed in online interviews (CAWI) on the following topics: internet use, Facebook groups, Facebook use, political content on Facebook, reaction to content, image experiment and Sunday question. Respondents were selected by quota sampling from an online access panel. Use of various internet services (Tinder, Facebook, Twitter, snapchat, Instagram, YouTube, online newspapers, none of the above); use of open or closed Facebook groups; Facebook content on political topics, on job-related topics, on hobbies, on entertainment or on other topics; type of Facebook use (read/ like/ share content, write comments, disseminate own content); political Facebook use (read/ like/ share political content, write comments on political topics, disseminate own content on political topics); reaction to Facebook content or comments (do I feel informed, entertained, annoyed, provoked, etc.). comments (feel informed, entertained, annoyed, provoked); agreement with various statements on Facebook (on Facebook others upset me, I show others their limits, I can speak my mind anonymously, I find many different opinions, I find opinions that are otherwise suppressed, I dare to say/ share things I would not otherwise say); party preference (Sunday question); comment (open) on a provocative image (split A: refugees, split B: Pegida). Demography: sex; age (year of birth); education; employment; occupational status; net household income (grouped); federal state. Additionally coded: serial number; weighting factor.

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Share
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TwitterTwitter
Email
Click to copy link
Link copied
Close
Cite
BwandoWando (2023). 🏆Uber, FB, Waze, etc US Apple App Store Reviews [Dataset]. http://doi.org/10.34740/kaggle/ds/4023539
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🏆Uber, FB, Waze, etc US Apple App Store Reviews

Apple App Store reviews of various apps

Explore at:
CroissantCroissant is a format for machine-learning datasets. Learn more about this at mlcommons.org/croissant.
Dataset updated
Nov 19, 2023
Dataset provided by
Kaggle
Authors
BwandoWando
License

https://creativecommons.org/publicdomain/zero/1.0/https://creativecommons.org/publicdomain/zero/1.0/

Description

App Reviews

https://www.googleapis.com/download/storage/v1/b/kaggle-user-content/o/inbox%2F1842206%2Fd4a6033b6bd31af45d5175d02e697934%2FAPPLEAPPS2.png?generation=1700357122842963&alt=media" alt="">

  1. uber-request-a-ride-us- 73787 rows
  2. waze-navigation-live-traffic-us- 26260 rows
  3. facebook-us- 24200 rows
  4. spotify-music-and-podcasts-us- 15580 rows
  5. netflix-us- 11760 rows
  6. pinterest-us- 10860 rows
  7. X-us- 8160 rows
  8. tiktok-us- 2542 rows
  9. tinder-dating-chat-friends-us- 1060 rows
  10. instagram-us- 300 rows

These reviews are from Apple App Store

Usage

This dataset should paint a good picture on what is the public's perception of the apps over the years. Using this dataset, we can do the following

  1. Extract sentiments and trends
  2. Identify which version of an app had the most positive feedback, the worst.
  3. Use topic modelling to identify the pain points of the application.

(AND MANY MORE!)

Note

Images generated using Bing Image Generator

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