ydjgfdj/Amazon_Reviews_for_Sentiment_Analysis_fine_grained_5_classes

---
license: apache-2.0
task_categories:
- text-classification
tags:
- sentiment analysis
- amazon
- reviews
- fine_grained
- text data
- nlp
pretty_name: Amazon Reviews for Fine-Grained Sentiment Analysis
language:
- en
size_categories:
- 1M<n<10M
---
# Dataset Card for Dataset Name

The Amazon reviews full score dataset is constructed by randomly taking 600,000 training samples and 130,000 testing samples for each review score from 1 to 5. In total there are 3,000,000 trainig samples and 650,000 testing samples.

## Dataset Details

### Dataset Description

The files train.csv and test.csv contain all the training samples as comma-sparated values. There are 3 columns in them, corresponding to class index (1 to 5), review title and review text. The review title and text are escaped using double quotes ("), and any internal double quote is escaped by 2 double quotes (""). New lines are escaped by a backslash followed with an "n" character, that is "\n".
- **License:** Apache 2

### Dataset Sources [optional]

<!-- Provide the basic links for the dataset. -->

- **Link on Kaggle:** https://www.kaggle.com/datasets/yacharki/amazon-reviews-for-sentianalysis-finegrained-csv
- **DOI:** @misc{xiang_zhang_acharki_yassir_2022,
title={🛒 Amazon Reviews for SA fine-grained 5 classes},
url={https://www.kaggle.com/dsv/3499094},
DOI={10.34740/KAGGLE/DSV/3499094},
publisher={Kaggle},
author={Xiang Zhang and Acharki Yassir},
year={2022}
}

## Uses

NLP

### Direct Use

Fine grained sentiment analysis

## Dataset Structure

The Dataset Contains

readme.txt

test.csv

train.csv

## Dataset Card Contact

For more info visit :

https://www.kaggle.com/datasets/yacharki/amazon-reviews-for-sentianalysis-finegrained-csv