Publication Details
Journal: Innovative: International Multidisciplinary Journal of Applied Technology (2995-486X)
Issue: Vol 2, No 11 (2024)
ISSN: 2995-486X
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Abstract

We propose a new way to spot search engine spam created by computer programs. Our method looks at how often certain writing styles and genres appear in a text. We use machine learning to automatically identify spam based on these patterns. Experiments show that our method can successfully detect spam created by a common type of text generator called a Markov chain.

Keywords
Search Engine Spam Spam Detection Machine Learning Text Generation Markov Chains Spam Filtering Algorithms Automated Text Generation Natural Language Processing Language Patterns Duplicate Content Detection Non-Dictionary Features
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