Machine Learning and Bots Detection on Twitter
Journal: International Journal of Science and Research (IJSR) (Vol.8, No. 9)Publication Date: 2019-09-05
Authors : Norberto De Almeida Andrade; Giuliano Carlo Rainatto; Fontamara Lima; Genesio Renovato; Denis Gustavo Espacacherch Paschoal;
Page : 944-947
Keywords : Twitter; Machine Learning; Bots; TrustRank;
Abstract
The social networking sites digital Become Increasingly popular, They also Attract the attention of spammers. This article, Twitter, the popular micro-blogging service, is an example of the Studied bot detection on digital social networking sites. Machine learning is Considered to regular spam robots Distinguish. To Facilitate the detection of spam, there are three aspects, the number of friends, number of followers and users. Data from all groups are extracted to Twitter. Three features Have Been added in 20 most recent user tweets. A set of current data is collected from the Twitter Object-telescope itself as it is Necessary to use two different methods. Evaluation experiments have Increased the risk of error on Twitter.
Other Latest Articles
- A Transdermal Formulation of Icariin for Use as a Substitute for Sildenafil and a Showing of No Clinical Efficacy
- Updating XML Files using a Tool based on DOM Parser
- Efficacy of Alternate Renewable Energy Sources in Saudi Arabia
- Critical Discourse Analysis of President Hamid Karzais Speech
- Case Series of Twin Reversed Arterial Perfusion (TRAP) Sequence at GGH, Kakinada, A.P.
Last modified: 2021-06-28 18:24:51