Shangyang Mou
Biographic Data
| ID | 4624931 |
|---|---|
| NAME | Shangyang Mou |
| GIVEN NAMES | Shangyang |
| FAMILY NAME | Mou |
| SIGNATURE | MOU S |
| AFFILIATIONS | Kobe University |
| ORCID | 0009-0006-5590-2038 |
| VERIFIED | Yes |
| TOTAL WORKS | 1 |
| TOTAL CITATIONS | 0 |
| AUTHOR COUNT | 1 |
| EDITOR COUNT | 0 |
| FIRST PUBLICATION YEAR | 2025 |
| LATEST PUBLICATION YEAR | 2025 |
| H-INDEX | 0 |
Prefix tuning with prompt augmentation for efficient financial news summarization
In financial markets, the sentiment expressed in news articles plays a pivotal role in interpreting and forecasting market trends, which also holds true for the task of financial news summarization (FNS). Leveraging AI models to analyze social science data, this paper employs financial sentiment to improve FNS effectiveness by introducing a novel method that combines the sentiment polarity extracted from financial news with prompt augmentation te…
No prominent works on this page.
Prefix tuning with prompt augmentation for efficient financial news summarization
In financial markets, the sentiment expressed in news articles plays a pivotal role in interpreting and forecasting market trends, which also holds true for the task of financial news summarization (FNS). Leveraging AI models to analyze social science data, this paper employs financial sentiment to improve FNS effectiveness by introducing a novel method that combines the sentiment polarity extracted from financial news with prompt augmentation te…
Advanced Text Analysis Techniques (1 work) · Automatic summarization (1 work) · Business (1 work) · Computer Science (1 work) · Information retrieval (1 work) · Linguistics (1 work) · Natural Language Processing Techniques (1 work) · Prefix (1 work) · Topic Modeling (1 work)