Datasets:
language:
- id
- en
pretty_name: r
task_categories:
- text-classification
tags:
- product reviews
- sentiment
size_categories:
- 10K<n<100K
Dataset Summary
This dataset contains 11,606 product reviews gathered from various indonesian brands and products in several e-commerce such as Shopee, Tokopedia, Lazada, Bukalapak, Blili, and Zalora. each row is marked as 1 for positive sentiment and 0 for negative sentiment.
This dataset has been transformed, selecting in a random way a subset of them, applying a cleaning process, and dividing them between the test and train subsets, keeping a balance between the number of positive and negative tweets within each of these subsets.
Languages
The text in the dataset is in English and Indonesian. The 'review' column contains reviews in indonesian, and the 'translate' column contains reviews that has been translated to english
Data Fields
In the final dataset, all files are in the JSON format with f columns:
| Column Name | Data |
|---|---|
| review | A sentence (or review) in indonesian |
| sentimen | The sentiment label of sentence, 1 for positive sentiment and 0 for negative sentiment |
| translate | A sentence (or review) in english |