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

Abstract 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 due to irrelevant and redundant features. This paper introduces a novel Boolean Operator-b...

Volledige beschrijving

Bibliografische gegevens

Hoofdauteurs:	Harish Dutt Sharma, Raja Rao Budaraju, Neeraj Kumar, Vijay Kumar, Nemi Chandra Rathore, Gaddam Ravindra Babu, Arvind Dhaka
Formaat:	Artigo
Taal:	Inglês
Gepubliceerd in:	Nature Portfolio 2025-11-01
Reeks:	Scientific Reports
Onderwerpen:	Boolean operated PSO Sentiment classification Boolean operators
Online toegang:	https://doi.org/10.1038/s41598-025-22894-3
Tags:	Voeg label toe Geen labels, Wees de eerste die dit record labelt!