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Amazon Cat Couch Feedback Dataset
Reviews & Ratings
Tags and Keywords
Trusted By
"No reviews yet"
Free
About
This dataset contains a subset of Amazon customer reviews for a Cat Couch, offering insights into customer feedback and preferences. It is valuable for businesses seeking to understand consumer sentiment and for researchers exploring customer feelings on pet products. The dataset is ideal for text pre-processing and natural language processing (NLP) tasks.
Columns
- Reviewer Name: The username of the person who left the review.
- Title: The title given to the review by the customer.
- Colour Name: The specific colour of the cat couch purchased by the reviewer.
- Rating: The star rating provided by the reviewer, on a scale of 1 to 5 stars.
- Review Location: The country from which the reviewer posted their feedback.
- Review Date: The date the review was published, formatted as yyyy-mm-dd.
- Review Text: The detailed textual description or comments left by the reviewer.
- Sentiment: The assessed sentiment of the review text (e.g., Positive, Neutral).
Distribution
The dataset is provided in a .csv file format. It includes a total of 100 customer review records, based on the sum of entries across various distributions.
Key distribution highlights include:
- Ratings: The majority of reviews, 65 out of 100, fall within the 4.60 - 5.00 star range.
- Sentiment: A significant 71% of reviews are classified as Positive, with 18% being Neutral.
- Reviewer Names: "Amazon Customer" accounts for 7% of reviews, with "Shu" at 1%, and the remaining 92% attributed to other reviewer names.
- Colours: "Green" is a notable colour, representing 24% of purchases, with 21% of entries having no specified colour and 55% being other colours.
Usage
This dataset is suitable for various applications, including:
- Customer feedback analysis: Gain a deeper understanding of what customers appreciate or dislike about the cat couch.
- Sentiment analysis: Develop and test models to automatically determine the sentiment of customer reviews.
- Text mining and NLP: Extract keywords, identify common themes, and understand language patterns within customer feedback.
- Product improvement: Inform product development strategies based on direct customer preferences and suggestions.
- Market research: Identify trends in consumer behaviour and preferences within the pet product market.
Coverage
The dataset offers a global geographic scope, capturing review locations from various countries. The time range for the reviews spans from 24th April 2023 to 28th June 2024. Demographically, the data represents a general set of Amazon customers.
License
CC0
Who Can Use It
- Businesses and E-commerce Managers: To monitor customer satisfaction, identify areas for product enhancement, and inform marketing strategies for pet accessories.
- Data Scientists and NLP Researchers: For training sentiment analysis models, developing text classification algorithms, and conducting studies on consumer language.
- Students and Beginners in Data Science: To gain practical experience with real-world text data, including pre-processing, data exploration, and basic analytical tasks.
- Product Developers: To understand user experience, identify popular features, and address common customer concerns for pet furniture.
Dataset Name Suggestions
- Cat Couch Customer Reviews
- Amazon Cat Couch Feedback Dataset
- Feline Sofa Consumer Insights
- Pet Furniture Review Analysis Data
Attributes
Original Data Source: Cat Couch Reviews
QUALITY