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E-commerce Product Review NLP Data
Reviews & Ratings
Tags and Keywords
Trusted By
"No reviews yet"
Free
About
This dataset provides unprocessed textual reviews suitable for Natural Language Processing (NLP) sentiment analysis. It consists of review data scraped from Amazon e-commerce platforms, offering valuable raw material for training and evaluating machine learning models focused on understanding customer sentiment and feedback.
Columns
- Reviews: This column contains the raw string of product reviews directly scraped from Amazon review pages.
Distribution
The dataset is provided as a CSV textual file, structured for ease of use in analytical applications. It contains approximately 4,919 individual entries, with the distribution of labels indicating varied sentiment classifications, such as 'Good' and 'Good product' making up a small percentage, and the majority categorised as 'Other'.
Usage
This dataset is ideally suited for NLP sentiment analysis, text classification, and machine learning model training. It can be utilised by data scientists and researchers to develop and test algorithms for understanding public opinion, product feedback analysis, and general text analytics.
Coverage
The data was scraped from Amazon's e-commerce platforms, specifically Amazon.com and Amazon.in, suggesting a global reach for the reviewed products. No specific time range for the collection of these reviews is provided within the available information.
License
CC0
Who Can Use It
This dataset is intended for NLP practitioners, data scientists, machine learning engineers, and academic researchers. It is highly valuable for anyone looking to train and validate sentiment analysis models, explore text mining techniques, or conduct market research based on consumer feedback.
Dataset Name Suggestions
- Amazon Customer Review Sentiment Dataset
- E-commerce Product Review NLP Data
- Raw Amazon Reviews for Sentiment Analysis
Attributes
Original Data Source: AmazonProductReview
QUALITY