Fake Review Detection System Using SVM Technique |
Author(s): |
| Kiruthik Raj K , Adhiyamaan College of Engineering; Moratanch N, Adhiyamaan College of Engineering; Loeksh K, Adhiyamaan College of Engineering; Prashant S, Adhiyamaan College of Engineering |
Keywords: |
| Fake Review Detection System, SVM Techniques |
Abstract |
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Society is currently facing a highly complicated issue in the form of fake news. The problem has been exacerbated by the ease with which false information can spread via social media. It is crucial to identify fake news as soon as possible to prevent negative consequences for those who may rely on such information when making important decisions, such as during presidential elections. A ground-breaking approach that uses machine learning methods has been developed for fake news detection. Our studies have shown that the proposed approach, which incorporates algorithms like Random Forest and KNN, can accurately classify results. This algorithm is passive, but becomes active in the event of a miscalculation, updating and adjusting to correct errors with minimal impact on outcomes. The solution has been tested and has achieved an accuracy rate of approximately 96%. |
Other Details |
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Paper ID: IJSRDV11I10078 Published in: Volume : 11, Issue : 1 Publication Date: 01/04/2023 Page(s): 48-52 |
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