Create dataset (UIT-ViOCD)

- uid: (UIT-ViOCD)
- type: processed
- description:
- name: Vietnamese Complaint Detection on E-Commerce Websites
- description: Customer product reviews play a role in improving the quality of products and services for organizations or brands. Complaining is an attitude that expresses dissatisfaction with an event or a product not meeting customer expectations. In this paper, we build a Vietnamese 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 Am = 87% by Fleiss' Kappa. 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 want to build a system for open-domain complaint detection in E-commerce websites.
- homepage: https://arxiv.org/pdf/2104.11969.pdf
- validated: True
- languages:
- language_names:
- Vietnamese
- language_comments:
- language_locations:
- South-eastern Asia
- Vietnam
- validated: False
- custodian:
- name: Ms. Nhung
- in_catalogue:
- type: A university or research institution
- location: Vietnam
- contact_name: Ms. Nhung
- contact_email: 18521218@gm.uit.edu.vn
- contact_submitter: False
- additional:
- validated: False
- availability:
- procurement:
- for_download: Yes - after signing a user agreement
- download_url: 18521218@gm.uit.edu.vn
- download_email:
- licensing:
- has_licenses: Unclear
- license_text:
- license_properties:
- license_list:
- pii:
- has_pii: Unclear
- generic_pii_likely:
- generic_pii_list:
- numeric_pii_likely:
- numeric_pii_list:
- sensitive_pii_likely:
- sensitive_pii_list:
- no_pii_justification_class: general knowledge not written by or referring to private persons
- no_pii_justification_text:
- validated: False
- processed_from_primary:
- from_primary: Taken from primary source
- primary_availability: Yes - their documentation/homepage/description is available
- primary_license: Unclear / I don't know
- primary_types:
- validated: False
- from_primary_entries:
- media:
- category:
- text
- text_format:
- audiovisual_format:
- image_format:
- database_format:
- text_is_transcribed: No
- instance_type:
- instance_count:
- instance_size:
- validated: False
- fname: (UIT-ViOCD).json

Bắt đầu bằng cách tìm các bản ghi dataset hiện có và hướng dẫn xác thực của repository, sau đó so sánh cấu trúc của chúng với mục (UIT-ViOCD).json được yêu cầu. Sử dụng paper được liên kết và metadata trong issue để tạo bản ghi, đồng thời xác nhận rằng quá trình xác thực dataset của repository chấp nhận bản ghi đó.

Do mô hình lập chỉ mục viết ra từ nội dung của issue.