README.md

---
task_categories:
- text-classification
language:
- vi
tags:
- code
pretty_name: Vietnamese Open-Domain Complaint Detection in E-commerce Websites
size_categories:
- 1K<n<10K
---
# Vietnamese Open-Domain Complaint Detection in E-commerce Websites
This is the official repository for the UIT-ViCTSD dataset from the paper [Vietnamese Open-Domain Complaint Detection in E-commerce Websites](https://arxiv.org/pdf/2103.10069.pdf), which was accepted at the [SoMeT 2021](https://dblp.org/db/conf/somet/somet2021.html).

# Citation Information
The provided dataset is only used for research purposes!
```
@misc{nguyen2021vietnamese,
      title={Vietnamese Complaint Detection on E-Commerce Websites}, 
      author={Nhung Thi-Hong Nguyen and Phuong Phan-Dieu Ha and Luan Thanh Nguyen and Kiet Van Nguyen and Ngan Luu-Thuy Nguyen},
      year={2021},
      eprint={2104.11969},
      archivePrefix={arXiv},
      primaryClass={cs.CL}
}
```

## Abstract
Customer product reviews play a role in improving the quality of products and services for business organizations or their brands. Complaining is an attitude that expresses dissatisfaction with an event or a product not meeting customer expectations. In this paper, we build a Open-domain Complaint Detection dataset (UIT-ViOCD), including 5,485 human-annotated reviews on four categories about product reviews on e-commerce sites. After the data collection phase, we proceed to the annotation task and achieve the inter-annotator agreement Am of 87%. Then, we present an extensive methodology for the research purposes and achieve 92.16% by F1-score for identifying complaints. With the results, in the future, we aim to build a system for open-domain complaint detection in E-commerce websites.
## Dataset
The ViOCD dataset is consist of 5,485 reviews on four categories about product reviews on e-commerce sites.

The dataset is divided into three parts as below:
1. Train set: 4.39K reviews
2. Valid set: 548 reviews
3. Test set: 549 reviews

## Contact
Please feel free to contact us by email luannt@uit.edu.vn if you have any further information!