Stock market prediction using machine learning classifiers and social media, news

W Khan, MA Ghazanfar, MA Azam, A Karami… - Journal of Ambient …, 2022‏ - Springer
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 …

[HTML][HTML] 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 …

Systematic Literature Review on Opinion Mining of Big Data for Government Intelligence.

A Kumar, A Sharma - Webology, 2017‏ - search.ebscohost.com
With the advent of new technology paradigm, SMAC (Social media, Mobile, Analytics and
Cloud) the information network generates an infinite ocean of data spreading faster and …

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 …

Investor sentiment and machine learning: Predicting the price of China's crude oil futures market

Z Jiang, L Zhang, L Zhang, B Wen - Energy, 2022‏ - Elsevier
Sentiment analysis technology has made it possible to precisely calculate the daily reactions
and opinions of investors, which has been found to have a significant influence on financial …

HiSA-SMFM: historical and sentiment analysis based stock market forecasting model

I Gupta, TK Madan, S Singh, AK Singh - ar** a successful approach to predict stock
prices. The vital idea to successful stock market prediction is not only achieving best results …