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Lazada App Customer Sentiment
E-commerce & Online Transactions
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Trusted By
"No reviews yet"
Free
About
This dataset contains a collection of Lazada app reviews from the Google Store, which were retrieved using RAPIDAPI. Lazada Group is a prominent international e-commerce company, recognised as one of Southeast Asia's largest e-commerce platforms. Initially selling inventory from its own warehouses, Lazada expanded its business model to include third-party retailers on its platform [1]. This dataset is valuable for gaining insights into the public's perception of the Lazada app over time. It enables users to extract sentiments and trends, identify app versions that received the most positive or negative feedback, and employ topic modelling techniques to pinpoint specific pain points within the application [1].
Columns
- review_text: The actual text content of the user's review [2].
- review_rating: The numerical rating given by the user, ranging from 1 to 5 [2].
- author_id: A unique identifier assigned to the author of the review [2].
- author_name: The display name of the author who submitted the review [2].
- author_app_version: The specific version of the Lazada app that the author was using when they wrote the review [2].
- review_datetime_utc: The date and time when the review was submitted, presented in Coordinated Universal Time (UTC) [2].
- review_likes: The total number of likes or upvotes received by the review [2].
Distribution
The dataset is provided in a CSV file format [2]. It includes approximately 775,000 records or reviews, as indicated by the total unique values and counts for various data points within the index [3]. The structure is tabular, with each row representing a single review and corresponding details across the defined columns.
Usage
This dataset is ideal for various analytical purposes, including:
- Sentiment analysis to understand the emotional tone and overall user satisfaction expressed in reviews [1].
- Trend identification to observe changes in user perception and app performance over different periods [1].
- App version analysis to determine which application updates or versions elicited the most favourable or unfavourable feedback [1].
- Topic modelling to uncover common themes, issues, and pain points mentioned by users, providing actionable insights for app improvement [1].
- Competitive benchmarking for e-commerce businesses looking to understand user experience in the broader market.
- Market research into consumer behaviour and expectations within the online retail space.
Coverage
- Geographic Scope: The dataset's reviews are sourced globally [4].
- Time Range: The reviews span a considerable period, from 9th June 2013 to 13th November 2023 [3, 5].
- Demographic Scope: It encompasses feedback from a wide and varied global user base of the Lazada app on the Google Play Store.
License
CC-BY-NC
Who Can Use It
- Data Scientists and Analysts: For conducting deep dives into user sentiment, performing natural language processing (NLP) tasks, and building predictive models related to app satisfaction.
- Product Managers: To inform product development roadmaps, prioritise feature enhancements, and monitor the impact of app updates based on direct user feedback.
- UX/UI Designers: To identify usability issues, understand user frustrations, and improve the overall user experience of mobile applications.
- E-commerce Strategists: To gain a competitive advantage by understanding customer needs, identifying market gaps, and improving online transaction processes.
- Academics and Researchers: For studies on consumer behaviour, mobile application success factors, and the dynamics of online communities.
Dataset Name Suggestions
- Lazada Google Play Reviews
- E-commerce Mobile App User Feedback
- Southeast Asia Online Shopping App Reviews
- Lazada App Customer Sentiment
- Google Store Lazada App Insights
Attributes
Original Data Source: 🇸🇬 Lazada App Reviews from Google Store
QUALITY