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Spam Spyder (Spam Detection using MI & AI)

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Spam Spyder (Spam Detection using MI & AI)


Anuja Kathwate | Dnyaneshwari Chafle | Sharda Moharle | Mansi Singh | Prof. Rina Shirpurkar



Anuja Kathwate | Dnyaneshwari Chafle | Sharda Moharle | Mansi Singh | Prof. Rina Shirpurkar "Spam Spyder (Spam Detection using MI & AI)" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Volume-8 | Issue-5, October 2024, pp.999-1007, URL: https://www.ijtsrd.com/papers/ijtsrd70490.pdf

Spam emails and messages are a major problem for both users and organizations in the digital era. With the help of machine learning techniques and the Spyder Integrated Development Environment (IDE), this project seeks to create a reliable spam detection system. Classifying messages as either'spam' or 'ham' (non-spam) with high accuracy is the main goal. The project starts with gathering and preparing a dataset comprising tagged spam and non-spam message instances. Text normalization, tokenization, and feature extraction are important preprocessing tasks. Text input is transformed into numerical features appropriate for machine learning models using methods like word embeddings and Term Frequency-Inverse Document Frequency. Using sophisticated data filtering algorithms and web-crawling techniques, Spam Spyder is a system that finds and analyzes spam content on the internet. The proliferation of uninvited and destructive messages, popularly known as "spam," has become a serious concern for online platforms, businesses, and users due to the exponential growth of digital communication and user-generated content. In order to combat this, Spam Spyder automates the process of identifying spam on websites, social media networks, and other online platforms. To detect spammy content, the system combines machine learning, natural language processing (NLP), and pattern recognition. Through website crawling and scanning for specified spam traits (such dubious links, misleading wording, or excessive keyword repetition), Spam Spyder is able to identify and classify. Now a days communication plays a major role in every thing be it professional or personal. Email communication service is being used extensively because of its free use services, low-cost operations, accessibility, and popularity. This security flaw is being exploited by some businesses and ill-motivated persons for advertising, phishing, malicious purposes, and finally fraud. This produces a kind of email category called SPAM. Spam refers to any email that contains an advertisement, unrelated and frequent emails. These emails are increasing day by day in numbers. Studies show that around 55 percent of all emails are some kind of spam. A lot of effort is being put into this by service providers. Moreover, the spam detection of service provider scan ever be aggressive with classification because it may cause potential information loss to in case of a misclassification.

Machine Learning, Image classification, Email detection, Text classification, Spam filtering, Natural language processing


IJTSRD70490
Volume-8 | Issue-5, October 2024
999-1007
IJTSRD | www.ijtsrd.com | E-ISSN 2456-6470
Copyright © 2019 by author(s) and International Journal of Trend in Scientific Research and Development Journal. This is an Open Access article distributed under the terms of the Creative Commons Attribution License (CC BY 4.0) (http://creativecommons.org/licenses/by/4.0)

International Journal of Trend in Scientific Research and Development - IJTSRD having online ISSN 2456-6470. IJTSRD is a leading Open Access, Peer-Reviewed International Journal which provides rapid publication of your research articles and aims to promote the theory and practice along with knowledge sharing between researchers, developers, engineers, students, and practitioners working in and around the world in many areas like Sciences, Technology, Innovation, Engineering, Agriculture, Management and many more and it is recommended by all Universities, review articles and short communications in all subjects. IJTSRD running an International Journal who are proving quality publication of peer reviewed and refereed international journals from diverse fields that emphasizes new research, development and their applications. IJTSRD provides an online access to exchange your research work, technical notes & surveying results among professionals throughout the world in e-journals. IJTSRD is a fastest growing and dynamic professional organization. The aim of this organization is to provide access not only to world class research resources, but through its professionals aim to bring in a significant transformation in the real of open access journals and online publishing.

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