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AliExpress Product Feedback Dataset
Reviews & Ratings
Tags and Keywords
Trusted By
"No reviews yet"
Free
About
This dataset provides insights into buyer reviews and evaluations of products sourced from AliExpress. It captures various attributes related to customer sentiment, feedback, and interactions concerning product evaluations. The data is suitable for sentiment analysis, product performance evaluation, and broader market research initiatives, offering a valuable resource for understanding customer preferences and experiences with various products.
Columns
- buyerName: The name or identifier of the buyer who submitted the evaluation.
- buyerCountry: The country of the buyer who submitted the evaluation.
- Evaluation: The evaluation or rating given by the buyer for the product.
- buyerFeedback: The textual feedback provided by the buyer regarding their overall experience with the product.
- buyerProductFeedBack: Specific feedback related to the product's features or performance.
- buyerTranslationFeedback: Feedback related to translation services, if applicable.
- downVoteCount: The count of downvotes received for the evaluation.
- upVoteCount: The count of upvotes received for the evaluation.
- evalData: The date on which the evaluation was submitted.
- evaluationId: A unique identifier for each individual evaluation.
- responsiveness: An evaluation of the product's responsiveness.
- warrantyService: An evaluation of the product's warranty service.
- functionality: An evaluation of the product's functionality.
- status: The status of the evaluation or review.
Distribution
The data file is typically in CSV format. Specific numbers for rows or records for the full dataset are not explicitly provided, though sample data snippets indicate varying total values per column.
Usage
This dataset is ideal for:
- Sentiment analysis: Understanding buyer sentiments towards products.
- Product performance evaluation: Assessing how products are perceived in terms of features, responsiveness, warranty, and functionality.
- Market research: Gaining insights into buyer preferences and experiences across various products.
Coverage
The dataset has a global regional coverage, drawing from buyers worldwide who submit reviews on AliExpress. The evaluation dates in sample data suggest that the dataset includes evaluations from at least late 2023 to early 2024.
License
CC By 4.0
Who Can Use It
- Researchers: For academic studies on consumer behaviour, e-commerce trends, and sentiment analysis.
- Analysts: For product performance assessment, market trend identification, and competitive analysis.
- Developers: For building machine learning models for sentiment prediction or recommendation systems.
Dataset Name Suggestions
- AliExpress Product Reviews Dataset
- E-commerce Customer Evaluation Data
- Global Buyer Feedback Records
Attributes
Original Data Source: AliExpress Product Reviews
QUALITY