Artificial intelligence applied to stock market trading: a review
FGDC Ferreira, AH Gandomi, RTN Cardoso - IEEE Access, 2021 - ieeexplore.ieee.org
The application of Artificial Intelligence (AI) to financial investment is a research area that
has attracted extensive research attention since the 1990s, when there was an accelerated …
has attracted extensive research attention since the 1990s, when there was an accelerated …
The state-of-the-art in Twitter sentiment analysis: A review and benchmark evaluation
Twitter has emerged as a major social media platform and generated great interest from
sentiment analysis researchers. Despite this attention, state-of-the-art Twitter sentiment …
sentiment analysis researchers. Despite this attention, state-of-the-art Twitter sentiment …
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 is reflected in stock prices …
According to the efficient market hypothesis, all past information is reflected in stock prices …
Does twitter affect stock market decisions? financial sentiment analysis during pandemics: A comparative study of the h1n1 and the covid-19 periods
Investors are constantly aware of the behaviour of stock markets. This affects their emotions
and motivates them to buy or sell shares. Financial sentiment analysis allows us to …
and motivates them to buy or sell shares. Financial sentiment analysis allows us to …
The impact of microblogging data for stock market prediction: Using Twitter to predict returns, volatility, trading volume and survey sentiment indices
In this paper, we propose a robust methodology to assess the value of microblogging data to
forecast stock market variables: returns, volatility and trading volume of diverse indices and …
forecast stock market variables: returns, volatility and trading volume of diverse indices and …
Harvesting social media sentiment analysis to enhance stock market prediction using deep learning
Abstract Information gathering has become an integral part of assessing people's behaviors
and actions. The Internet is used as an online learning site for sharing and exchanging …
and actions. The Internet is used as an online learning site for sharing and exchanging …
Stream-based active learning for sentiment analysis in the financial domain
J Smailović, M Grčar, N Lavrač, M Žnidaršič - Information sciences, 2014 - Elsevier
Studying the relationship between public sentiment and stock prices has been the focus of
several studies. This paper analyzes whether the sentiment expressed in Twitter feeds …
several studies. This paper analyzes whether the sentiment expressed in Twitter feeds …
Using Twitter trust network for stock market analysis
Online social networks are now attracting a lot of attention not only from their users but also
from researchers in various fields. Many researchers believe that the public mood or …
from researchers in various fields. Many researchers believe that the public mood or …
Constructing and analyzing domain-specific language model for financial text mining
The application of natural language processing (NLP) to financial fields is advancing with an
increase in the number of available financial documents. Transformer-based models such …
increase in the number of available financial documents. Transformer-based models such …
Stock market prediction using microblogging sentiment analysis and machine learning
P Koukaras, C Nousi, C Tjortjis - Telecom, 2022 - mdpi.com
The use of Machine Learning (ML) and Sentiment Analysis (SA) on data from microblogging
sites has become a popular method for stock market prediction. In this work, we developed a …
sites has become a popular method for stock market prediction. In this work, we developed a …