Abstract
Multi-label classification is rapidly developing as an important aspect of modern predictive modeling. In this paper, we propose a multi-label text classification approach in order to extract the labels of economic concepts from economic news articles. We demonstrate a multi-label sentence-level event classification with a multi-label classifier algorithm. The classifier uses BERT Model and classification based on the association between labels via a threshold. The experiment on real-world multi-label data with many labels demonstrates an appealing performance and efficiency of multi-label classification.
| Original language | English |
|---|---|
| Title of host publication | ICUFN 2022 - 13th International Conference on Ubiquitous and Future Networks |
| Publisher | IEEE Computer Society |
| Pages | 417-420 |
| Number of pages | 4 |
| ISBN (Electronic) | 9781665485500 |
| DOIs | |
| Publication status | Published - 2022 |
| Event | 13th International Conference on Ubiquitous and Future Networks, ICUFN 2022 - Virtual, Barcelona, Spain Duration: 2022 Jul 5 → 2022 Jul 8 |
Publication series
| Name | International Conference on Ubiquitous and Future Networks, ICUFN |
|---|---|
| Volume | 2022-July |
| ISSN (Print) | 2165-8528 |
| ISSN (Electronic) | 2165-8536 |
Conference
| Conference | 13th International Conference on Ubiquitous and Future Networks, ICUFN 2022 |
|---|---|
| Country/Territory | Spain |
| City | Virtual, Barcelona |
| Period | 22/7/5 → 22/7/8 |
Bibliographical note
Funding Information:This research was supported by the National Research Foundation of Korea (NRF) grant funded by the Korea government (MSIT) (No. NRF-2J21R1F1A1J5JM77) and (NRF-2J22R1A2C2JJ4JJ3) Correspondence should be addressed to jseok14@korea.ac.kr.
Publisher Copyright:
© 2022 IEEE.
Keywords
- Multi-label Classification
- Natural Language Processing
- Text Classification
ASJC Scopus subject areas
- Computer Networks and Communications
- Computer Science Applications
- Hardware and Architecture