Skip to content

Latest commit

 

History

History

YouTube-Comments-Sentiment-Analysis

Folders and files

NameName
Last commit message
Last commit date

parent directory

..
 
 
 
 
 
 
 
 

YouTube-Comments-Sentiment-Analysis

YouTube is a very large, free video sharing website that makes it easy to watch online videos.You can even create and upload your own videos to share with them. On an average, 100 hours of videos are uploaded to YouTube every minute, so there’s always something new to watch!

There are so many different content creators on YouTube creating such a variety of content on so many different categories. These creators can use our system to analyze if their videos are having positive reviews or not and they can work on improving their content. They can also analyze what kind of content becomes most popular and grossing through our system.

Dataset:

We have made use of various datasets which can be generalized into two types:

  1. One type having all the non youtube comments but still related to youtube video basically discussions on different social medias.
  2. Another type of datasets which individually focuses on the comments of some particular youtube channels such as a rock band OKGO, famous singer Taylor Swift, etc.

Tools:

Google Colab

Link to colab: https://colab.research.google.com/drive/1wYUqA5g4urobK5gMzF_Np4Tq5CTljRee#scrollTo=84d0c392