This paper presents a study where semantic frames are used to mine financial news so as to quantify the impact of news on the stock mar- ket. We represent news ...

This paper presents a study where semantic frames are used to mine financial news so as to quantify the impact of news on the stock market.

Semantic Feature Representation to Capture News Impact. June 30, 2023. Authors. Boyi Xie. Dingquan Wang. Rebecca J. Passonneau. Track:.

This paper presents a study where semantic frames are used to mine financial news so as to quantify the impact of news on the stock market.

May 9, 2016 · This paper presents a study where semantic frames are used to mine financial news so as to quantify the impact of news on the stock market.

Mar 9, 2023 · We aim to show that content-based feature engineering can enhance the semantic models in a complex task like fake news detection.

We propose a fake news detection framework based on knowledge-guided semantic analysis, which compares the news to external knowledge through triplets for fake ...

Dec 15, 2022 · This article reviews the research on using semantic knowledge graphs for production, distribution, and consumption of news.

To fill the gap between news semantic feature space and fake news decision space, we propose a novel method, i.e., Contextual Semantic representation learning ...

Sep 21, 2023 · This review article analyzes relevant studies for the few last years and highlights the challenges faced by fake news detection models and their impact on ...