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 …
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 …
[PDF][PDF] Systematic Literature Review on Opinion Mining of Big Data for Government Intelligence.
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 …
Cloud) the information network generates an infinite ocean of data spreading faster and …
HiSA-SMFM: historical and sentiment analysis based stock market forecasting model
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 …
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
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 …
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
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 …
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 …
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 …
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 …
prices. The vital idea to successful stock market prediction is not only achieving best results …
Stock market forecasting using machine learning: Today and tomorrow
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 …
businesses. Stock market is totally uncertain as the prices of stocks keep fluctuating on a …