Stock market prediction using machine learning classifiers and social media, news
Accurate stock market prediction is of great interest to investors; however, stock markets are
driven by volatile factors such as microblogs and news that make it hard to predict stock …
driven by volatile factors such as microblogs and news that make it hard to predict stock …
Sentiment analysis for stock price prediction
R Gupta, M Chen - 2020 IEEE conference on multimedia …, 2020 - ieeexplore.ieee.org
Stock prices and financial markets are often sentiment-driven, which leads to research
efforts to predict stock market trend using public sentiments expressed on social media such …
efforts to predict stock market trend using public sentiments expressed on social media such …
Stock price movement prediction using sentiment analysis and CandleStick chart representation
TT Ho, Y Huang - Sensors, 2021 - mdpi.com
Determining the price movement of stocks is a challenging problem to solve because of
factors such as industry performance, economic variables, investor sentiment, company …
factors such as industry performance, economic variables, investor sentiment, company …
Critical review of text mining and sentiment analysis for stock market prediction
Z Janková - Journal of Business Economics and Management, 2023 - ijspm.vgtu.lt
The paper is aimed at a critical review of the literature dealing with text mining and sentiment
analysis for stock market prediction. The aim of this work is to create a critical review of the …
analysis for stock market prediction. The aim of this work is to create a critical review of the …
[HTML][HTML] More than just sentiment: Using social, cognitive, and behavioral information of social media to predict stock markets with artificial intelligence and big data
YE AKDOGAN, A ANBAR - Borsa Istanbul Review, 2024 - Elsevier
Digital transformation offers unprecedented opportunities to access data on hard-to-
measure social aspects. In this digital era, social media platforms have become critical data …
measure social aspects. In this digital era, social media platforms have become critical data …
Sentiment analysis and prediction of Indian stock market amid Covid-19 pandemic
C Gondaliya, A Patel, T Shah - IOP conference series: materials …, 2021 - iopscience.iop.org
Outbreak and spread of the Covid-19 pandemic have touched to the core of our sentiments.
Indian stock market has seen a roller coaster ride so far this year amid the Covid-19 …
Indian stock market has seen a roller coaster ride so far this year amid the Covid-19 …
How to make machine select stocks like fund managers? Use scoring and screening model
With the development of technology and the abundance of data, many novel methods like
artificial intelligence and machine learning have emerged for quantitative finance. This work …
artificial intelligence and machine learning have emerged for quantitative finance. This work …
Stock market prediction based on machine learning and social sentiment analysis
Precise stock market prediction is crucial for investors, but the volatility of the stock market is
influenced by multiple factors such as public sentiments, business news, and related product …
influenced by multiple factors such as public sentiments, business news, and related product …
[PDF][PDF] Stock market prediction using Twitter sentiment analysis
V Padmanayana, K Bhavya - Int. J. Sci. Res. Comput. Sci. Eng. Inf …, 2021 - academia.edu
Stock market prediction is an important topic in financial engineering especially since new
techniques and approaches on this matter are gaining value constantly. In this project, we …
techniques and approaches on this matter are gaining value constantly. In this project, we …
A gold futures price forecast model based on SGRU-AM
J Wang, Y Li, T Wang, J Li, H Wang, P Liu - IEEE Access, 2021 - ieeexplore.ieee.org
As the leading component of the financial market, the price formation mechanism of gold
futures has been attracting extra attention of financiers and scholars. However, the data of …
futures has been attracting extra attention of financiers and scholars. However, the data of …