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[HTML][HTML] A review on sentiment analysis from social media platforms
M Rodríguez-Ibánez, A Casánez-Ventura… - Expert Systems with …, 2023 - Elsevier
Sentiment analysis has proven to be a valuable tool to gauge public opinion in different
disciplines. It has been successfully employed in financial market prediction, health issues …
disciplines. It has been successfully employed in financial market prediction, health issues …
Stock market prediction using machine learning techniques: a decade survey on methodologies, recent developments, and future directions
With the advent of technological marvels like global digitization, the prediction of the stock
market has entered a technologically advanced era, revam** the old model of trading …
market has entered a technologically advanced era, revam** the old model of trading …
Survey on sentiment analysis: evolution of research methods and topics
Sentiment analysis, one of the research hotspots in the natural language processing field,
has attracted the attention of researchers, and research papers on the field are increasingly …
has attracted the attention of researchers, and research papers on the field are increasingly …
[HTML][HTML] Deep learning for stock market prediction
The prediction of stock groups values has always been attractive and challenging for
shareholders due to its inherent dynamics, non-linearity, and complex nature. This paper …
shareholders due to its inherent dynamics, non-linearity, and complex nature. This paper …
Investigating the informativeness of technical indicators and news sentiment in financial market price prediction
Real-time market prediction tool tracking public opinion in specialized newsgroups and
informative market data persuades investors of financial markets. Previous works mainly …
informative market data persuades investors of financial markets. Previous works mainly …
A novel ensemble learning approach for stock market prediction based on sentiment analysis and the sliding window method
Financial news disclosures provide valuable information for traders and investors while
making stock market investment decisions. Essential but challenging, the stock market …
making stock market investment decisions. Essential but challenging, the stock market …
Predictive intelligence using ANFIS‐induced OWAWA for complex stock market prediction
Traditional time series prediction methods are unable to handle the complex nonlinear
relationship of a large data set. Most of the existing techniques are unable to manage …
relationship of a large data set. Most of the existing techniques are unable to manage …
[HTML][HTML] A machine learning method for prediction of stock market using real-time twitter data
Finances represent one of the key requirements to perform any useful activity for humanity.
Financial markets, eg, stock markets, forex, and mercantile exchanges, etc., provide the …
Financial markets, eg, stock markets, forex, and mercantile exchanges, etc., provide the …
Ensemble technique with optimal feature selection for Saudi stock market prediction: a novel hybrid red deer-grey algorithm
SS Alotaibi - IEEE Access, 2021 - ieeexplore.ieee.org
The forecast of the stock price attempts to assess the potential movement of the financial
exchange's stock value. The exact estimation of the movement of share price would …
exchange's stock value. The exact estimation of the movement of share price would …
Quantifying the impact of CEO social media celebrity status on firm value: novel measures from digital gatekee** theory
Recent literature has acknowledged the role of CEO social media presence in sha** firm
strategic outcomes. We contribute to this literature by invoking the CEO's public recognition …
strategic outcomes. We contribute to this literature by invoking the CEO's public recognition …