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Flipkart Product Sentiment Analysis
Reviews & Ratings
Tags and Keywords
Trusted By
"No reviews yet"
Free
About
This dataset provides a valuable collection of customer reviews for products purchased from Flipkart, a prominent e-commerce platform. It captures the customer experience and feedback regarding specific products, including their assigned ratings. The dataset is ideal for sentiment analysis, product insights, and understanding customer satisfaction.
Columns
- Index: A numerical identifier for each record.
- Product_name: The name of the product, often accompanied by brief details.
- Review: The textual review provided by the customer about their experience with the product.
- Rating: A numerical rating given by the customer for the product, typically ranging from 1 to 5 stars.
Distribution
The dataset is typically provided in a CSV format. It contains approximately 2,303 records across its columns. While the exact file size is not specified, its structure is well-defined with distinct columns for product information, reviews, and ratings.
Usage
This dataset is highly suitable for various analytical and machine learning applications, including:
- Performing sentiment analysis on customer reviews to gauge product perception.
- Extracting product insights and understanding common customer feedback themes.
- Developing and training Natural Language Processing (NLP) models for text classification and opinion mining.
- Building recommendation systems based on user ratings and review content.
- Analysing customer satisfaction levels and identifying areas for product improvement.
Coverage
The dataset focuses on customer reviews from Flipkart. While Flipkart primarily operates in India, the dataset's stated region for availability is global. There are no specific notes on time range or demographic scope within the provided information for the reviews themselves. The dataset was listed on 17/06/2025.
License
CC0
Who Can Use It
This dataset is intended for a wide range of users, including:
- Data scientists and machine learning engineers for building sentiment analysis models.
- NLP researchers for advancing text understanding and processing techniques.
- Product managers seeking to understand customer feedback and improve product offerings.
- Business analysts looking to derive actionable insights from customer reviews and ratings.
- Individuals interested in AI and LLM data for training and experimentation.
Dataset Name Suggestions
- Flipkart Customer Reviews Dataset
- Flipkart Product Sentiment Analysis
- E-commerce Customer Feedback Data
- Product Ratings and Reviews (Flipkart)
- Indian E-commerce Review Data
Attributes
Original Data Source: Flipkart Reviews Sentiment Analysis
QUALITY