A Survey for News Credibility in Social Networks

Text mining has been a vital area that has been linked to some fields of research such as machine learning, data analysis and gathering, and information recovery. To extract knowledge and information, Natural Language Processing (NLP) was used alternative techniques. Text mining analyses unstructure...

Full description

Saved in:
Bibliographic Details
Published in:International journal of e-collaboration 2022-01, Vol.18 (1), p.1-20
Main Authors: Idrees, Amira M, Yasser, Farah, AbdelMawgoud, Sayed AbdelGaber
Format: Article
Language:English
Subjects:
Computational linguistics
Data mining
Information management
Language processing
Machine learning
Mineral industry
Mining industry
Natural language interfaces
Social media
Social networks
Surveys
Citations: Items that this one cites
Items that cite this one
Online Access:Get full text
Tags: Add Tag
No Tags, Be the first to tag this record!
Description
Summary:Text mining has been a vital area that has been linked to some fields of research such as machine learning, data analysis and gathering, and information recovery. To extract knowledge and information, Natural Language Processing (NLP) was used alternative techniques. Text mining analyses unstructured data to provide critical data and information plans in a timely manner. Nowadays everyone uses online communication activities to keep in touch with others in their daily life. As a result, they're a great way to connect. Not sorting in a paragraph in a format suitable for word recognition has become a point of contention. intensity can cause a variety of inconsistencies, such as lexical, semantic, linguistic, and syntactic ambiguities, determining the proper data arrangement. Information and data are required for learning things and reaching knowledge. This paper covered how to use text mining to determine the credibility of news on social media. The findings of this study could be used as the basis for future text mining research.
ISSN:1548-3673
1548-3681
DOI:10.4018/IJeC.304378