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About Fake News Detection Using Machine Learning Models
The document summarizes a study on detecting fake news using machine learning models. It discusses how fake news and misinformation spreads easily online and impacts society. The study proposes using natural language processing techniques and machine learning classifiers like Random Forest and Support Vector Machines to analyze news texts and classify them as real or fake. Eight experiments were conducted using different feature extraction methods, and the best performing model was a Support Vector Machine with an accuracy of 98%, showing potential for real-world use in reliable fake news detection.
Detailed Information
| Author: | ['Prasad N. Kumbhar'] |
|---|---|
| Publication Year: | 2023 |
| Pages: | 5 |
| Language: | English |
| Format: | |
| Price: | FREE |
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