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Musical Instrument Customer Feedback
Reviews & Ratings
Tags and Keywords
Trusted By
"No reviews yet"
Free
About
This dataset provides customer reviews and ratings for musical instruments from Amazon, intended for sentiment analysis. It aims to assist organisations in better understanding customer feedback and identifying common issues faced by customers. The challenge of classifying feedback into positive, negative, and neutral sentiments was inspired by a problem statement from ISRO, making this dataset valuable for developing accurate classification models.
Columns
- reviewerID: An identifier for the reviewer, for example, A2SUAM1J3GNN3B.
- asin: The unique product identifier, such as 0000013714.
- reviewerName: The name of the individual who submitted the review.
- helpful: Indicates the helpfulness rating of a review, shown as a ratio (e.g., 2/3).
- reviewText: The actual written content of the customer's review.
- overall: The product's overall rating on a scale of 1 to 5.
- summary: A concise summary derived from the review text.
- unixReviewTime: The time the review was submitted, presented in Unix timestamp format.
- reviewTime: The raw, human-readable time of the review submission.
Distribution
The data file is provided in a JSON format within a GZ (zipped) archive. Specific numbers regarding the total rows or records within the dataset are not available from the provided information.
Usage
This dataset is ideal for various applications, including:
- Performing sentiment analysis to gauge customer sentiment towards musical instruments.
- Categorising opinions expressed in customer feedback forums.
- Classifying individual comments and reviews to determine their sentiment (positive, negative, or neutral).
- Building models to determine overall product ratings based on individual review sentiments.
- Helping organisations focus on specific issues customers are experiencing with products.
Coverage
The dataset's coverage is global, as indicated by its region listing. While the dataset includes review time data (both Unix and raw formats), specific date ranges for the reviews are not detailed. The demographic scope includes Amazon customers who have reviewed musical instruments.
License
CCO
Who Can Use It
- Organisations: To gain insights into customer satisfaction and identify areas for product or service improvement.
- Data Scientists and Analysts: For developing and testing machine learning models focused on natural language processing (NLP), text mining, and sentiment analysis.
- Researchers: Those studying consumer behaviour, product reviews, or building predictive models based on textual feedback.
Dataset Name Suggestions
- Amazon Musical Instruments Reviews
- Musical Instrument Customer Feedback
- Amazon Product Ratings (Instruments)
- Customer Sentiment on Musical Gear
Attributes
Original Data Source: Amazon Musical Instruments Reviews
QUALITY