Abstract:

Smart technologies, especially cell phones, are widely utilised for communication in today's society. Unfortunately, the overuse of SMSs has resulted in a rise in spam messages, which are unwelcome and frequently include useless information. Numerous businesses use SMSs to advertise their goods and services, which leads to more spam messages than actual messages. In this study, we suggest filtering and classifying SMSs as either spam or not using text classification approaches, such as machine learning algorithms. By doing this, we hope to give a succinct description of the spam filtering procedure. The report also discusses OCR and the use of several classification techniques to spot spam communications. The images of user-provided messages are also pre-processed using the optical character recognition (OCR) approach

Description:

Spam Messages, Classification, Spam Filtering, OCR