Identifying behavioral anomalies in Twitter users
In this modern society, social media are widely used in people’s lives for communication, B2C engagements and many more. Twitter, in particular, has become a popular medium for communication and with its popularity comes the increasing attention of spammers and cyber attackers who are looking to ups...
Saved in:
Main Author: | Teo, Yue Qi |
---|---|
Other Authors: | Yeo Chai Kiat |
Format: | Final Year Project |
Language: | English |
Published: |
2016
|
Subjects: | |
Online Access: | http://hdl.handle.net/10356/66710 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Institution: | Nanyang Technological University |
Language: | English |
Similar Items
-
Detecting Anomalous Twitter Users by Extreme Group Behaviors
by: DAI, Hanbo, et al.
Published: (2012) -
User-level twitter polarity classification with a hybrid approach
by: Liu, Fan
Published: (2016) -
Classification of user-level twitter polarity using soft computing approaches
by: Iyer, Shruthi Suresh
Published: (2019) -
User-level twitter polarity classification using a hybrid approach
by: Chong, Kah Weng
Published: (2017) -
Classification of user-level twitter polarity using soft computing approach
by: Zhou, Yangyang
Published: (2019)