DC Field | Value | Language |
---|---|---|
dc.contributor.author | Zala, Arjunsinh | - |
dc.date.accessioned | 2024-02-27T06:46:27Z | - |
dc.date.available | 2024-02-27T06:46:27Z | - |
dc.date.issued | 2023 | - |
dc.identifier.citation | Zala, A. (2023). Fake News Prediction. Department of Computer Engineering Faculty of Engineering and Technology Atmiya University. | en_US |
dc.identifier.uri | http://10.9.150.37:8080/dspace//handle/atmiyauni/1367 | - |
dc.description.abstract | In today’s worlds where people are more reliable on the news which are available online as it's convenient for them. As the use of the internet is increasing so thus the spread of fake news also. As the spread of such fake news can be intentional or unintentional but this affects society. Thus, an increasing number of fake news has to be controlled by using the computational tool which predicts such misleading information as if it is fake or real. | en_US |
dc.language.iso | en | en_US |
dc.title | Fake News Prediction | en_US |
dc.type | Other | en_US |
Appears in Collections: | 01. B.TECH CE Student Project Reports |
Files in This Item:
File | Description | Size | Format | |
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Fake News Prediction.pdf | 772.22 kB | Adobe PDF | View/Open |
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