Google Play Reviews For Speed Test Applications

A collection of user reviews for speed test applications from the Google Play Store, likely in Indonesian language. The dataset provides textual feedback and ratings for apps focused on internet speed measurement. The original author, organization, and exact temporal coverage are unknown.

Use Cases

• Classify review_sentiment (positive, negative, neutral) based on the review_text content.
• Analyze the relationship between review_score and the topics mentioned in review_text to identify key user pain points.
• Perform topic modeling on review_text to discover common themes like 'connection accuracy', 'ad complaints', or 'user interface'.
• Train a model to predict review_score from the linguistic features extracted from review_text.

Strengths

• Focuses on a specific app category (speed test applications) for targeted analysis.
• Provides user-generated text data (reviews) for natural language processing tasks.

Limitations

• The exact number of reviews (row count) is unknown, making it difficult to assess statistical significance.
• The dataset is limited to reviews from the Google Play Store, excluding iOS users and other platforms.
• Potential for language bias as reviews are indicated to be in Indonesian, limiting generalizability to other languages.

Provenance

Source

Google Play Store

Collection Method

Web scraping of app review pages, inferred from platform tags and title.