Spam filtering on social media using machine learning
Abstract & Details
Research Area
Master of Computer Application
Keywords
support vector machine
phishing attacks
random forest
naive bayes
microblogging
computer-aided
artificial neural network
Abstract
Abstract: Social media sites such as Twitter have become an integral part of our daily lives. With the growing popularity of these sites, the problem of spamming has also increased, leading to a cluttered and irrelevant feed. To address this problem, we propose a machine learning-based approach to filter out spam messages from social media feeds.
Our approach involves preprocessing the social media feed to extract relevant features such as message content, user activity, and metadata. We then use supervised machine learning algorithms such as Naïve Bayes, Random Forest, and Support Vector Machines to train our model on a labeled dataset of spam and non- spam messages.
License
This work is licensed under a Creative
Commons
Attribution-ShareAlike 4.0 International License.
Author Information
| # | Name | Institute / Affiliation |
|---|---|---|
| 1 | Srushti H A | AMC Engineering College |
| 2 | M R Padma Priya | AMC Engineering College |
How to Cite
Use the following formats to cite this article in your research.
APA Style
A, Srushti H & Priya, M R Padma (2023). Spam filtering on social media using machine learning. International Journal of Advance Research and Innovative Ideas In Education, 9(4), 1374-1379.
MLA Style
A, Srushti H, and M R Padma Priya. "Spam filtering on social media using machine learning." International Journal of Advance Research and Innovative Ideas In Education, vol. 9, no. 4, 2023, pp. 1374-1379.
IEEE Style
Srushti H A and M R Padma Priya, "Spam filtering on social media using machine learning," International Journal of Advance Research and Innovative Ideas In Education, vol. 9, no. 4, pp. 1374-1379, 2023.
Vancouver Style
A Srushti H, Priya M R Padma. Spam filtering on social media using machine learning. International Journal of Advance Research and Innovative Ideas In Education. 2023;9(4):1374-1379.
Harvard Style
A, Srushti H & Priya, M R Padma (2023) 'Spam filtering on social media using machine learning', International Journal of Advance Research and Innovative Ideas In Education, 9(4), pp. 1374-1379.
Chicago Style
A, Srushti H and M R Padma Priya. "Spam filtering on social media using machine learning." International Journal of Advance Research and Innovative Ideas In Education 9, no. 4 (2023): 1374-1379.
Turabian Style
A, Srushti H and M R Padma Priya. "Spam filtering on social media using machine learning." International Journal of Advance Research and Innovative Ideas In Education 9, no. 4 (2023): 1374-1379.
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