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Publication Type : Conference Paper
Source : International Conference on Computing, Communication and Control System, I3CAC2021, Bharath University, Chennai, India, Chennai,07-08 June 2021
Url : https://eudl.eu/doi/10.4108/eai.7-6-2021.2308570
Campus : Chennai
Department : Computer Science and Engineering
Year : 2021
Abstract : Twitter being a famous social media site not only helps people to share their thoughts in microblogs but also plays a pivotal role in situations of emergency for communication, announcement and so on. However, it results in anaversive effect when inappropriate tweet is reposted or shared to people thereby spreading rumors. This work describesthe methodologies in identifying the rumors using specific attributes like precision, fi-score, recall and support thereby solving the ranging rumor issues across the social media platform. A system detects candidate’s rumor from twitter and then evaluates it applicably. The result of experiment shows the proposed algorithm in order to detect the rumors with acceptable accuracy.
Cite this Research Publication : N. Kanagavalli, S. Baghavathi Priya, S. Ilavarasan, “Identification of Deception Detection on Social Media (Twitter) Data Sets using Naive Base Classification and RVNN Model”, International Conference on Computing, Communication and Control System, I3CAC2021, Bharath University, Chennai, India, Chennai,07-08 June 2021