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What LSTMs really do | Simple explanation

LSTM Recurrent Neural Network is a special version of the RNN model. It stands for Long Short-Term Memory. The simple RNN has ...
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 ...
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 ...
Visual Studio Magazine

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

The goal of the IMDB dataset problem is to predict if a movie review has positive sentiment ("I liked this movie") or negative sentiment ("The film was a disappointment"). This article explains how to ...