NLP-BASED SPAM DETECTION FOR VISUALLY IMPAIRED

Abstract

Abstract— Spamming, constituting about 70 of business emails, is a major issue, aiming to deceive or insinuate data transmissions. For visually bloodied individualities, feting and managing spam is challenging due to reliance on assistive technologies. To address this, a new approach using Natural Language Processing( NLP) is proposed(2). This system analyzes dispatch and communication content to determine spam liability. exercising NLP ways like textbook preprocessing, point birth, and machine literacy, the approach classifies dispatches as spam ornon-spam. Evaluation using visually bloodied druggies' data shows significant enhancement in spam discovery compared to conventional styles( 8). This study enhances accessible technologies by furnishing an effectivespam discovery result.