datasets:
- wikimulti
language:
- vi
tags:
- news classification
widget:
- text: >-
Tuy nhiên, sự thỏa mãn lại chẳng thể kéo dài. Họ nhanh chóng rơi vào hoang
mang khi nhận ra đã mất một khoản tiền lớn cho các món đồ không thực sự
cần thiết, hoặc phục vụ mục đích vô nghĩa.
example_title: Example 1
- text: >-
Những người bị bệnh gan như cấp tính, mạn tính, xơ gan, viêm gan tuyệt đối
không nên ăn gừng.
example_title: Example 2
BERT-base for news genre classification
This is a fine-tuned version of NlpHUST/vibert4news-base-cased model for news genre classification. The training data is 3864 vietnamese news summaries in WikiMulti dataset.
Labels:
0-> Agriculture, food, and drink
1-> Albums
2-> Architecture
3-> Art
4-> Biology and medicine
5-> Chemistry and materials science
6-> Classical compositions
7-> Computing and engineering
8-> Earth science
9-> Film
10-> Geography
11-> Language and literature
12-> Mathematics and mathematicians
13-> Media and drama
14-> Other music articles
15-> Philosophy
16-> Physics and astronomy
17-> Places
18-> Religion
19-> Royalty, nobility, and heraldry
20-> Songs
21-> Television
22-> Transport
23-> World history
24->Armies and military units
25->Baseball
26->Basketball
27->Battles, exercises, and conflicts
28->Culture, sociology, and psychology
29->Economics and business
30->Education
31->Football
32->Hockey
33->Law
34->Magazines and print journalism
35->Military aircraft
36->Military decorations and memorials
37->Military people
38->Motorsport
39->Multi-sport event
40->Other sports
41->Politics and government
42->Pro wrestling
43->Recreation
44->Video games
45->Warships and naval units
46->Weapons, equipment, and buildings