AI BASED SPAM TEXT DETECTOR

Abstract: The idea of Artificial Intelligence belongs to Computer Science. The idea here is to develop machines which can perform tasks done by humans. I intend to discuss Artificial Intelligence. The technology has been adopted by many industries including health care and education. Artificial Intelligence is really useful, in these areas. Artificial Intelligence is also used in finance and cyber security. Artificial Intelligence is really useful, in places. Spamming has increased tremendously through the usage of such means. The content of spam consists of malicious ads, fake links, phishing, and misleading information. It could lead to many problems for an individual as well as for the organization. Most of the conventional techniques used in detecting spam content have proven themselves inefficient in identifying complex patterns of spam. Therefore, it is proposed to use AI-Based Spam Text Detection System for the identification and classification of spam as well as non-spam texts by using machine learning and Natural Language Processing. Machine learning techniques are trained using big datasets consisting of both types of messages to ensure greater accuracy in prediction. Due to the usage of technology in NLP, it gets extremely easy for the computer to interpret the meaning that is concealed within the messages.

Keywords: Artificial Intelligence, Spam Filter Technique, Machine Learning, Natural Language Processing, Text Categorization, Computer Security.