Identifying Business Trends from Stock Market Data utilizing Domain-Specialized Sentence-RoBERTa and BERTopic Technique.
| Anthology ID: | DBLP:conf/smallext/JungY25 |
|---|---|
| Volume: | Proceedings of the 1st Workshop on Small and Efficient Large Language Models for Knowledge Extraction (SmaLLEXT 2025) co-located with CIKM 2025, Seoul, Korea, November 14, 2025. |
| Year: | 2025 |
| Venue: | Workshop on Small and Efficient Large Language Models for Knowledge Extraction (SmaLLEXT) |
| Publisher: | CEUR-WS.org |
| Pages: | 59-64 |
| URL: | https://ceur-ws.org/Vol-4200/paper5.pdf |
| DBLP: | conf/smallext/JungY25 |
| BibTeX: |
@inproceedings{jung-2025-identifying,
author = {Ye Lim Jung and
Hyoung Sun Yoo},
editor = {Felice Antonio Merra and
Kristian Skracic and
Daniele Malitesta and
Jacek Golebiowski and
Pasquale Minervini},
title = {{Identifying Business Trends from Stock Market Data utilizing Domain-Specialized Sentence-RoBERTa and BERTopic Technique}},
booktitle = {{Proceedings of the 1st Workshop on Small and Efficient Large Language Models for Knowledge Extraction (SmaLLEXT 2025) co-located with CIKM 2025, Seoul, Korea, November 14, 2025}},
series = {CEUR Workshop Proceedings},
volume = {4200},
pages = {59--64},
publisher = {CEUR-WS.org},
year = {2025},
url = {https://ceur-ws.org/Vol-4200/paper5.pdf}
}