Detecting spam comments is the task of text classification in Machine Learning. Spam comments on social media platforms are the type of comments posted to redirect the user to another social media account, website or any piece of content.
To detect spam comments with Machine Learning, we need labelled data of spam comments. Luckily, I found a dataset on Kaggle about YouTube spam comments which will be helpful for the task of spam comments detection.
The dataset contains the following columns:
comment_id: Unique identifier for each comment.
author: Name of the author who posted the comment.
date: Date when the comment was posted.
content: The text content of the comment.
tag: Label indicating whether the comment is spam or not.
The primary objective of this study is to build a Machine Learning model that can accurately classify comments as spam or not spam. The key goals include:
Spam Comments Detection
Overview
Detecting spam comments is the task of text classification in Machine Learning. Spam comments on social media platforms are the type of comments posted to redirect the user to another social media account, website or any piece of content.
To detect spam comments with Machine Learning, we need labelled data of spam comments. Luckily, I found a dataset on Kaggle about YouTube spam comments which will be helpful for the task of spam comments detection.
The dataset contains the following columns:
comment_id: Unique identifier for each comment.author: Name of the author who posted the comment.date: Date when the comment was posted.content: The text content of the comment.tag: Label indicating whether the comment is spam or not.Objectives
The primary objective of this study is to build a Machine Learning model that can accurately classify comments as spam or not spam. The key goals include: