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Haridas, Nandhini (2019) Detecting the Spread of Online Fake News using Natural Language Processing and Boosting Technique. Masters thesis, Dublin, National College of Ireland.
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Abstract
Social media is flooded with fake news these days. This impacts the quality of the social media. By this way online social media is purely affected by the enormous amount of fake news spread across the online platform. This will affect the reputation of the company that publishes the news. Unfortunately, very few research has been conducted to understand the intensity of this issue and to help overcome fake news that is spread in the social media. Among those few research were deep learning techniques that were used to help identify the fake news with better accuracy. But, the one main drawback of this technique is its high latency in getting the prediction as the data used will be very large and enormous. This paper is proposed in a way to eliminate this high latency issue and get a better, faster and sharper accuracy level. This research is proposed in using machine learning algorithms like Logistic regression, LightGBM and XGBoost to get a better, faster accurate results as they are good in low computational complexity. Also this research uses dimensionality reduction technique like PCA. By this way the time and space complexity will be low as the main motive of the proposed project is to predict the fake news in social media with low latency and better accuracy.
| Item Type: | Thesis (Masters) |
|---|---|
| Subjects: | Q Science > QA Mathematics > Electronic computers. Computer science T Technology > T Technology (General) > Information Technology > Electronic computers. Computer science Q Science > QA Mathematics > Computer software T Technology > T Technology (General) > Information Technology > Computer software Z Bibliography. Library Science. Information Resources > ZA Information resources > ZA4150 Computer Network Resources > The Internet > World Wide Web > Websites T Technology > TK Electrical engineering. Electronics. Nuclear engineering > Telecommunications > The Internet > World Wide Web > Websites |
| Divisions: | School of Computing > Master of Science in Data Analytics |
| Depositing User: | Dan English |
| Date Deposited: | 10 Jun 2020 14:49 |
| Last Modified: | 10 Jun 2020 14:49 |
| URI: | https://norma.ncirl.ie/id/eprint/4261 |
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