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TikTok Google Play Reviews Data
Product Reviews & Feedback
Tags and Keywords
Trusted By
"No reviews yet"
Free
About
Reviews of the TikTok application from the Google Play platform are captured in this dataset. It offers insights into user sentiment, feedback, and experiences with the popular social media application, making it a valuable resource for understanding public opinion and app performance.
Columns
- reviewId: A unique identifier for each individual review. This column contains over 307,000 distinct values, all recorded as valid.
- userName: The name of the user who submitted the review. There are approximately 277,000 unique user names, all valid.
- userImage: A link or reference to the user's profile image. This field has over 306,000 unique entries and is entirely valid.
- content: The actual text content of the user's review. Common entries include "Good" and "Nice", with over 190,000 unique review texts.
- score: The star rating given by the user, ranging from 1 to 5. The mean score is 4.31, with 5 stars being the most frequent rating.
- thumbsUpCount: The number of "thumbs up" or likes a review received. Values range from 0 to over 20,000, with an average of 3.1.
- reviewCreatedVersion: The version of the TikTok application that the user was reviewing at the time of submission. Approximately 29% of entries in this column are not available, while there are 499 unique versions recorded.
- at: The date and time when the review was posted. Dates in this dataset range from 17 January 2022 to 6 April 2022.
- replyContent: The text content of any response provided by the TikTok team to the user's review. This column is largely empty, with almost all entries showing no response.
- repliedAt: The date and time when a response was issued to a user review. Similar to
replyContent, this column is mostly not available, reflecting the infrequent provision of replies.
Distribution
The dataset is provided as a CSV file, named
tiktok_google_play_reviews.csv, with a size of 80.59 MB. It comprises 10 columns and contains approximately 307,000 individual records or rows, each representing a distinct review.Usage
This dataset is ideal for sentiment analysis to gauge public perception of TikTok, market research to identify trends in user feedback, and user experience (UX) research to pinpoint areas for app improvement. It can also be used for competitive analysis within the social media landscape or for natural language processing (NLP) tasks focused on understanding user-generated content.
Coverage
The dataset primarily covers user reviews posted on the Google Play platform, implying a global reach for the review base. The reviews were posted between 17 January 2022 and 6 April 2022. Information regarding demographic scope of the reviewers is not explicitly detailed. It is important to note that responses from the TikTok team (
replyContent and repliedAt) are largely absent, and the application version at the time of review (reviewCreatedVersion) is not always recorded.License
CC0: Public Domain
Who Can Use It
- App Developers: To understand user feedback and guide feature development or bug fixes.
- Marketing Teams: To analyse public sentiment, identify key selling points, or monitor brand perception.
- Data Scientists & Analysts: For text analysis, sentiment modelling, and statistical exploration of user reviews.
- Academic Researchers: To study mobile application ecosystems, user behaviour, or social media trends.
- Competitor Analysis Firms: To benchmark TikTok's user satisfaction against other applications.
Dataset Name Suggestions
- TikTok Google Play Reviews Data
- Google Play TikTok User Feedback
- TikTok App Review Sentiment
- Mobile App Reviews: TikTok
- TikTok User Ratings and Comments
Attributes
Original Data Source: TikTok Google Play Reviews Data
QUALITY