The most common use of The Sentiment Analysis API in the financial sector will be theanalysis of financial news, in particular to predicting the behaviour and possible trend of stock markets. Traditional Technical Analysis of the Financial Market with the use of tools the like of Stockastics and...
The Performance Evaluation of Textual Analysis Tools in Financial Markets Sentiment AnalysisSocial MediaThe rapid development of textual analysis techniques has paved the way for automatic sentiment analysis. Many studies have been ... T Hu,A Tripathi - 《Social Science Electronic Publishing》 被引量:...
movements: graph-based market dynamics analysis and NLP-based analysis on financial markets have been largely taken as independent directions so far—while there have been studies on the market impact of sentiment13,14, the analysis has been mostly restricted to the investigation on individual ...
Evaluation of Sentiment Analysis in Finance: From Lexicons to Transformers Financial and economic news is continuously monitored by financial market participants. According to the efficient market hypothesis, all past information ... K Mishev,A Gjorgjevikj,I Vodenska,... - 《IEEE Access》 被引量...
Sentiment analysis is the automated interpretation and classification of emotions from textual data such as written reviews and social media posts.
This paper seeks to consider the relationship between the sentiment of newswire messages and the volatility of returns in the gold futures market. In parti... LA Smales - 《Journal of International Financial Markets Institutions & Money》 被引量: 30发表: 2015年 Lexicon Based Sentiment Analysis of...
This paper focuses on topic-specific and more specifically company-specific sentiment analysis in financial newswire text. This application is of great use to researchers in the financial domain who study the impact of news (media) on the stock markets. We investigate the viability of a new fine...
We use textual analysis to measure the growing concern about climate issues and to assess its impact on stock prices in the United States. Using a dataset of 71doi:10.2139/ssrn.3710489Bessec, MarieFouquau, JulienSocial Science Electronic Publishing...
Sentiment analysis in financial markets A framework to utilize the human ability of word association for analyzing stock market news reports. As financial markets getting faster and more complex, it is difficult for market participants to manage the information overload. Sentiment analysis is a u.....
However, it is known that sentiment analysis is a very domain-dependent NLP task that requires knowledge of the domain ontology, and this is particularly the case with the financial domain, which uses its own unique vocabulary. Recent developments in NLP and deep learning including LLMs have ...