International Journal of Science and Research (IJSR)

International Journal of Science and Research (IJSR)
Call for Papers | Fully Refereed | Open Access | Double Blind Peer Reviewed

ISSN: 2319-7064


Downloads: 113 | Views: 160

M.Tech / M.E / PhD Thesis | Information Technology | India | Volume 9 Issue 6, June 2020


Possible Misleading Information Identification from News Using Text Analysis

Dobariya Vipula V.


Abstract: The large use of social media has tremendous impact on our society. Culture, business with potentially positive and negative effects. Now a days, due to the increase in use of online social networks, the fake news for various commercial and political purposes has been emerging in large numbers and widely spread in the online world. The existing systems are not efficient in giving a precise statistical rating for any given news. Also, the restrictions on input and category of news make it less varied. This develops a method for automating fake news detection for various events. We are building a classifier that can predict whether a piece of news is fake based on data source, thereby approaching the problem from purely knowledge based perspective.


Keywords: Misinformation, Fake news, Fake reviews


Edition: Volume 9 Issue 6, June 2020,


Pages: 424 - 426


How to Download this Article?

Type Your Valid Email Address below to Receive the Article PDF Link


Verification Code will appear in 2 Seconds ... Wait

Top