Cyberbullying Detection in Twitter Using Machine Learning Techniques
(Sprache: Englisch)
Last few years the online social network has immensely popular in the whole world. Millions of users have used these sites as real-time communication, dynamic data sources where they can create their profiles and communicate with other users regardless of...
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Last few years the online social network has immensely popular in the whole world. Millions of users have used these sites as real-time communication, dynamic data sources where they can create their profiles and communicate with other users regardless of geographical location and physical limitations. In this region, these online social media have become vital and unique communication system. Online Social Media data can provide us with new innovative insights into the construction of social networks and societies, which is previously thought to be impossible regarding scale and extent. So, I am working on this issue. For cyberbullying detection using twitter data. I do my best. I am using little bit data set. In future i used huge amount of data from different sources.
Autoren-Porträt von Md. Tofael Ahmed
Ahmed, Md. TofaelMr. Tofael is a Assistant Professor in ICT Dept. of Comilla University. Last eight years he worked as a Teacher in ICT subject. a student advisor and a author focusing on IT related issues. He also held positions with responsibility for head of the department. After receiving M.Phil degree from South Asian University, Mr. Tofael moved to academic.
Bibliographische Angaben
- Autor: Md. Tofael Ahmed
- 2018, 80 Seiten, Maße: 22 cm, Kartoniert (TB), Englisch
- Verlag: LAP Lambert Academic Publishing
- ISBN-10: 6139932491
- ISBN-13: 9786139932498
Sprache:
Englisch
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