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 …

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 …

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

A Kumar, A Sharma - Webology, 2017 - webology.org
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 …

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

I Gupta, TK Madan, S Singh, AK Singh - arXiv preprint arXiv:2203.08143, 2022 - arxiv.org
One of the pillars to build a country's economy is the stock market. Over the years, people
are investing in stock markets to earn as much profit as possible from the amount of money …

Analyzing the Brazilian financial market through Portuguese sentiment analysis in social media

AEO Carosia, GP Coelho, AEA Silva - Applied Artificial Intelligence, 2020 - Taylor & Francis
ABSTRACT According to the Efficient Market Hypothesis, financial market movements are
dependent on news and external events that have a significant impact on the market value …

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 …

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 …

How mood affects the stock market: Empirical evidence from microblogs

Y Sun, X Liu, G Chen, Y Hao, ZJ Zhang - Information & Management, 2020 - Elsevier
Examining 22,504 tweets extracted from Sina Weibo, a microblog site, we identify two
clusters of microblog users and study how they influence the stock market. Our research …

[PDF][PDF] Sentiment analysis for effective stock market prediction

S Bharathi, A Geetha - International Journal of Intelligent …, 2017 - researchgate.net
The Stock market forecasters focus on developing a successful approach to predict stock
prices. The vital idea to successful stock market prediction is not only achieving best results …

Stock market forecasting using machine learning: Today and tomorrow

S Singh, TK Madan, J Kumar… - 2019 2nd International …, 2019 - ieeexplore.ieee.org
Stock market prediction is a major exertion in the field of finance and establishing
businesses. Stock market is totally uncertain as the prices of stocks keep fluctuating on a …