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.
| Mualliflar | Yuldasheva Khurshida Timurovna |
|---|---|
| Jurnal | Innovative Multidisciplinary Journal of Applied Technology |
| Nashr sanasi | 2024-11-04 |
| Jild | 2 |
| Son | 11 |
| Betlar | 33-41 |
| Til | Ingliz |
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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