Predicting stock market using natural language processing
K Puh, M Bagić Babac - American Journal of Business, 2023 - emerald.com
Purpose Predicting the stock market's prices has always been an interesting topic since its
closely related to making money. Recently, the advances in natural language processing …
closely related to making money. Recently, the advances in natural language processing …
Machine Learning-based Stock Market Forecasting using Recurrent Neural Network
In today's world where trading became very common. Observing the trends and stock market
predictions has become more and more popular. Forecasting the future value of a …
predictions has become more and more popular. Forecasting the future value of a …
Optimised hybrid CNN-LSTM model for stock price prediction
This article emphasises the precise forecasting of stock prices using a hybrid deep learning
model that is a convolutional neural network-long short-term memory network and the …
model that is a convolutional neural network-long short-term memory network and the …
A study of the effect of influential spreaders on the different sectors of Indian market and a few foreign markets: a complex networks perspective
Market competition has a role that is directly or indirectly associated with the influential
effects of individual sectors on other sectors of the financial market. The present work studies …
effects of individual sectors on other sectors of the financial market. The present work studies …
Prediction of Telecommunication Company Stock Price using Multiple Linear Regression
This study presents case studies in finance, mainly stock trading. The paperwork from a
portfolio data mining effort and data obtained directly from the Indonesian Stock Exchange …
portfolio data mining effort and data obtained directly from the Indonesian Stock Exchange …
Describing the effect of influential spreaders on the different sectors of Indian market: a complex networks perspective
Market competition has a role which is directly or indirectly associated with influential effects
of individual sectors on other sectors of the economy. The present work studies the relative …
of individual sectors on other sectors of the economy. The present work studies the relative …
Deep Learning-Based Stock Market Prediction and Investment Model for Financial Management
Y Huang, V Vakharia - Journal of Organizational and End User …, 2024 - igi-global.com
This study explores the potential application of deep learning techniques in stock market
prediction and investment decision-making. The authors used multi-temporary stock data …
prediction and investment decision-making. The authors used multi-temporary stock data …
Optimised hybrid CNN bi-LSTM model for stock price forecasting
Financial markets are considered the backbone of a country's economy. This article focuses
on the stock price forecasting using deep learning models. Here, a hybrid model, ie …
on the stock price forecasting using deep learning models. Here, a hybrid model, ie …
Stock price prediction using random forest classifier and backtesting
VSP Bhamidipati, D Saisanthiya - … International Conference on …, 2023 - ieeexplore.ieee.org
Stock price prediction is an attempt to determine the future price of company stock and (or)
other categories traded on the National Stock Exchange [NSE]. A stock's future price forecast …
other categories traded on the National Stock Exchange [NSE]. A stock's future price forecast …
Forecasting in stock market with Machine Learning: A State of Art
M Özcan - 2023 14th International Conference on Computing …, 2023 - ieeexplore.ieee.org
Machine learning has become increasingly crucial in stock market forecasting due to its
capacity to analyze large volumes of data, detect patterns, and make predictions based on …
capacity to analyze large volumes of data, detect patterns, and make predictions based on …