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http://ir.juit.ac.in:8080/jspui/jspui/handle/123456789/9913Full metadata record
| DC Field | Value | Language |
|---|---|---|
| dc.contributor.author | Garg, Aditi | - |
| dc.contributor.author | Kumar, Pardeep [Guided by] | - |
| dc.date.accessioned | 2023-09-08T16:49:57Z | - |
| dc.date.available | 2023-09-08T16:49:57Z | - |
| dc.date.issued | 2023 | - |
| dc.identifier.uri | http://ir.juit.ac.in:8080/jspui/jspui/handle/123456789/9913 | - |
| dc.description | Enrolment No. 191379 | en_US |
| dc.description.abstract | It is difficult to recognise reliable news sources due to the proliferation of false information as it’s easy to spread because of new sources including social media channels, news web journals, and online periodicals, Since more individuals now have access to the Internet thanks to the development of information and communication technology, this has altered how information is consumed therefore The need for computational tools that can provide insights regarding the fake quality of online content is growing. In our everyday routine, we absorb news through a variety of sources, but occasionally it can be challenging to distinguish between fake and real news. | en_US |
| dc.language.iso | en_US | en_US |
| dc.publisher | Jaypee University of Information Technology, Solan, H.P. | en_US |
| dc.subject | Artificial neural network | en_US |
| dc.subject | Natural language | en_US |
| dc.subject | Artificial Intelligence | en_US |
| dc.subject | Fake news | en_US |
| dc.title | Fake News Detection using Deep Learning | en_US |
| dc.type | Project Report | en_US |
| Appears in Collections: | B.Tech. Project Reports | |
Files in This Item:
| File | Description | Size | Format | |
|---|---|---|---|---|
| Fake News Detection using Deep Learning.pdf | 2.25 MB | Adobe PDF | View/Open |
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