TY  - JOUR
T1  - YouTube Spam Comments Detection Using Artificial Neural Network
AU - Abd, Thulfiqar AU - Altabrawee, Hussein AU - Qaisar Ajmi, Samir 
JO  - Journal of Engineering and Applied Sciences
VL  - 13
IS  - 22
SP  - 9638
EP  - 9642
PY  - 2018
DA  - 2001/08/19
SN  - 1816-949x
DO  - jeasci.2018.9638.9642
UR  - https://makhillpublications.co/view-article.php?doi=jeasci.2018.9638.9642
KW  - Artificial neural network
KW  -spam comment detection
KW  -ANN Model
KW  -UCI machine
KW  -YouTube spam
KW  -popularity
AB  - YouTube is considered as one of the most popular video sharing websites that is growing very fast.
Because of its popularity, it attracts different types of spammers who publish unwanted spam videos and
comments. Spam comment can be defined as the comment that is not relevant to the specific content of a web
page. In general, spam comments could be used to publish messages for online marketing, believes of religious,
political ideas and links to spam websites that harm the computer of the user. This study presents a YouTube
spam comment detection model using a fully connected feed forward neural network. The dataset used to build
the model has been obtained from the UCI machine learning repository. A comparison between the ANN
Model's results and the results achieved by Alberto is presented and it has been found that the ANN
Model is better than most of the models used by Alberto.
ER  -