A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2020; you can also visit the original URL.
The file type is application/pdf
.
Gender Detection on Social Networks using Ensemble Deep Learning
[article]
2020
arXiv
pre-print
Analyzing the ever-increasing volume of posts on social media sites such as Facebook and Twitter requires improved information processing methods for profiling authorship. Document classification is central to this task, but the performance of traditional supervised classifiers has degraded as the volume of social media has increased. This paper addresses this problem in the context of gender detection through ensemble classification that employs multi-model deep learning architectures to
arXiv:2004.06518v3
fatcat:s6dwyv6w7nbqvicrr6oezbrwxi