News-based intelligent prediction of financial markets using text mining and machine learning: A systematic literature review
MN Ashtiani, B Raahemi - Expert Systems with Applications, 2023 - Elsevier
Researchers and practitioners have attempted to predict the financial market by analyzing
textual (eg, news articles and social media) and numeric data (eg, hourly stock prices, and …
textual (eg, news articles and social media) and numeric data (eg, hourly stock prices, and …
LSTM based stock prediction using weighted and categorized financial news
S Usmani, JA Shamsi - PloS one, 2023 - journals.plos.org
A significant correlation between financial news with stock market trends has been explored
extensively. However, very little research has been conducted for stock prediction models …
extensively. However, very little research has been conducted for stock prediction models …
Multi-lexicon classification and valence-based sentiment analysis as features for deep neural stock price prediction
The goal of the work is to enhance existing financial market forecasting frameworks by
including an additional factor–in this example, a collection of carefully chosen tweets—into a …
including an additional factor–in this example, a collection of carefully chosen tweets—into a …
Stock price prediction using machine learning and sentiment analysis
Y Mehta, A Malhar… - 2021 2nd International …, 2021 - ieeexplore.ieee.org
The stock market is a very dynamic market where nothing is as stable as a rock but as the
technology is upgrading there are many ways and methods one can try to learn this dynamic …
technology is upgrading there are many ways and methods one can try to learn this dynamic …
Stock market prediction using sentimental analysis and machine learning
U Shah, B Karani, J Shah… - 2021 2nd Global …, 2021 - ieeexplore.ieee.org
Stock price prediction is a trending and important topic in the field of finance and
investments. In Share Markets there are no defined rules and regulations to estimate or …
investments. In Share Markets there are no defined rules and regulations to estimate or …
Forecasting financial market dynamics: an in-depth analysis of social media data for predicting price movements in the next day
M Tarsi, S Douzi, A Marzak - Social Network Analysis and Mining, 2024 - Springer
The widespread adoption and continuous development of social media platforms have
greatly enhanced the availability of information, thanks to recent technical progress …
greatly enhanced the availability of information, thanks to recent technical progress …
[PDF][PDF] Time Series Forecasting Using FB-Prophet.
K Sharma, R Bhalla, G Ganesan - ACM, 2022 - ceur-ws.org
In multiple problem domains, including sales, finance, the stock market, etc., predicting
methods are applied. Predicting the Indian stock market is to figure out a company's future …
methods are applied. Predicting the Indian stock market is to figure out a company's future …
Fine-Tuning of Predictive Models CNN-LSTM and CONV-LSTM for Nowcasting PM2.5 Level
Particulate matter forecasting is fundamental for early warning and controlling air pollution,
especially PM2. 5. The increase in this level of concentration will lead to a negative impact …
especially PM2. 5. The increase in this level of concentration will lead to a negative impact …
Prediction of the stock market based on machine learning and sentiment analysis
P Jishtu, H Prajapati, J Fiaidhi - Authorea Preprints, 2022 - techrxiv.org
Nothing is rock-steady in the stock market, which isa very volatile market. Nevertheless,
there are a variety of ways and approaches one may utilise to learn about this dynamic …
there are a variety of ways and approaches one may utilise to learn about this dynamic …
[PDF][PDF] Multi-Lexicon Classification and Valence-Based Sentiment Analysis as Features for Deep Neural Stock Price Prediction. Sci 2023, 5, 8
The goal of the work is to enhance existing financial market forecasting frameworks by
including an additional factor–in this example, a collection of carefully chosen tweets—into a …
including an additional factor–in this example, a collection of carefully chosen tweets—into a …