[Retracted] Online Troll Reviewer Detection Using Deep Learning Techniques

Table 1

Description of the attributes of the used dataset.

Attribute name	Description
Is-Troll	Class labeling.
Body	This attribute indicates text based feature written and posted by the reviewer or user on Reddit portal.
Score	Sentiment polarity of the given comment text (-1 is negative and 1 is positive.
Ups	The number of like the reviewer has gotten on his/her comments and reviews texts through the Reddit platform.
Down	This attribute represents the number of dislikes received by the reviewer on his/her posts and comments.
Link_karma	This attribute is similar the comment karma. Conversely, link karma property does not expose the karma of the comments, but the karma of published posts of the user.
Comment_karma	In the Reddit forum, this property symbolizes the user’s karma. Users who are rude, spamming, or spreading hoaxes are likely to have a lower karma than those who do not engage in such behavior.
Has_verified_email	If the user or reviewer has a verified email address, this characteristic is displayed. In the event that this address is not verified, it could imply that the author just set up the phony profile for the purpose of making troll posts and has since abandoned it.
Is_gold	There are two possible values for this attribute: 1 or nil. Users with accounts worth at least $1 are eligible for premium participation. Because premium membership on this network costs money, users who have it are less likely to be trolls.
Controversiality	Moderators on the Reddit platform are known for referring to hoaxes and controversial posts. The controversial characteristic means that the user has previously had a post rated as controversial. Moderators may have already flagged certain posts or comments from an account belonging to a persistent troll.