Qualitative Analysis of the YouTube Video in the Domain of Skin Care using Machine learning

Abstract

YouTube ranking are the most impressive topic for researchers and the researcher try to get the qualitative content of the YouTube video without watching the video if the user is new its most important for us to enable the user to find the best video as per quality of the content for this purpose we proposed as model which gives us the classification of the comments with its class and also predict the how much the fake comments are written in the comments section to help the video content to ranked on the YouTube. This qualitative work helps the research after the preprocessing the comments and filter the fake comments and then find the qualitative comments from the video feedback section. Our proposed model help the user to classify his comments about the skin care videos the skin care means skin care and treatment and if there is some fake comments and fake ideas are putted in the video or comments this will classify and help the user about the video with pure qualitative analysis of the video with comments and this helps us to truly rank the video and the user will get benefits truly. With the help of Machine learning algorithms and feature engineering we meet the target and after this we received the 0.94 F1 score.

Keywords

• fake comments
• youtube
• machine learning algorithm
• multi-class classification