The IRMA Community
Newsletters
Research IRM
Click a keyword to search titles using our InfoSci-OnDemand powered search:
|
Mining Perspectives for News Credibility: The Road to Trust Social Networks
Abstract
Text mining has become a vital zone that has been attached to some examined ranges such as computational etymology, data mining, and information recovery (IR). Almost all people today use social networking activities in their daily interactions with no sorting. This can result in a range of inconsistencies, including lexical, semantic, linguistic, and syntactic ambiguities, making it difficult to determine the accurate data arrangement. Fittingly, the study identified the concept of text mining in terms of its impact on social networks. This study highlights the positive impact of intelligent techniques and how to use text mining to detect the news credibility on Facebook. The study introduced a background that highlighted the related aspects, the relation between these domains, and the news credibility. The study also presents the recent research in these fields with demonstrating the roles of these techniques for the required study target. The study could support as the foundation of future text mining studies on social networks data.
Related Content
Prasanna Ranjith Christodoss, Rajesh Natarajan.
© 2022.
14 pages.
|
K. Uday Kiran, Gowtham Mamidisetti, Chandra shaker Pittala, V. Vijay, Rajeev Ratna Vallabhuni.
© 2022.
12 pages.
|
Amalraj Irudayasamy, Prasanna Ranjith Christotodoss, Rajesh Natarajan.
© 2022.
20 pages.
|
Koppula Srinivas Rao, S. Saravanan, Kasula Raghu, V. Rajesh, Pattem Sampath Kumar.
© 2022.
15 pages.
|
Swapna B., Arulmozhi P., Kamalahasan M., Anuradha V., Meenaakumari M., Hemasundari H., Aathilakshmi T..
© 2022.
21 pages.
|
Archana K. S., Sivakumar B., Siva Prasad Reddy K.V, Arul Stephen C., Vijayalakshmi A., Ebenezer Abishek B..
© 2022.
15 pages.
|
Swapna B., M. Kamalahasan, S. Gayathri, S. Srinidhi, H. Hemasundari, S. Sowmiya, S. Shavan Kumar.
© 2022.
12 pages.
|
|
|