Rochester Institute of Technology

Predictive Analysis on Stock Market Data using Sentiment Analysis and Long Short-Term Memory (LSTM) Neural Network

Stock market prediction has been one of the most interesting use cases of machine learning for a long time. Stock market prediction involves both fundamental and technical analysis of a particular ...
Business Recorder

Forecasting stock price movements: Study finds LSTM models effective

KARACHI: A new study titled “Predictive Performance of LSTM Networks on Sectoral Stocks in an Emerging Market” has found that Long Short-Term Memory (LSTM) deep learning models can effectively ...
Visual Studio Magazine

Sentiment Classification of IMDB Movie Review Data Using a PyTorch LSTM Network

This demo from Dr. James McCaffrey of Microsoft Research of creating a prediction system for IMDB data using an LSTM network can be a guide to create a classification system for most types of text ...
Scientific Research Publishing

Applying Deep Learning Techniques for Automated Analysis and Interpretation of Financial Statements ()

Multimodal Learning, Deep Learning, Financial Statement Analysis, LSTM, FinBERT, Financial Text Mining, Automated Interpretation, Financial Analytics Share and Cite: Wandwi, G. and Mbekomize, C. (2025 ...
MarTech on MSN

How to use modern language models for enhanced sentiment analysis

Sentiment analysis promised to unlock the secrets of customer feedback, but outdated methods have left us with shallow ...