Nature

Sentiment classification via improved feature selection using Boolean operator-based particle swarm optimization

Sentiment analysis plays a vital role in understanding user opinions across digital platforms. However, accurate classification in high-dimensional text data remains a significant challenge, primarily ...
Nature

Context aware semantic adaptation network for cross domain implicit sentiment classification

Cross-domain sentiment classification could be attributed to two steps. The first step is used to extract the text representation, and the other is to reduce domain discrepancy. Existing methods ...
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 ...
InfoQ

Sentiment Analysis: What's with the Tone?

A monthly overview of things you need to know as an architect or aspiring architect. Unlock the full InfoQ experience by logging in! Stay updated with your favorite authors and topics, engage with ...