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...

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מידע ביבליוגרפי

Principais autores:	Harish Dutt Sharma, Raja Rao Budaraju, Neeraj Kumar, Vijay Kumar, Nemi Chandra Rathore, Gaddam Ravindra Babu, Arvind Dhaka
פורמט:	Artigo
שפה:	Inglês
יצא לאור:	Nature Portfolio 2025-11-01
סדרה:	Scientific Reports
נושאים:	Boolean operated PSO Sentiment classification Boolean operators
גישה מקוונת:	https://doi.org/10.1038/s41598-025-22894-3
תגים:	הוספת תג אין תגיות, היה/י הראשונ/ה לתייג את הרשומה!