Text Data Analysis - YouTube dataset
YouTube is the second most visited site in the world. YouTube attracts almost about 44% of all internet users. 37% of all mobile internet traffic belongs to YouTube. So, why not analyze its data? So, here we go:
It is a text data analysis on youtube data. Basically, it is all about how people react to the videos. Sentimental Analysis is performed on the basis of likes, dislikes, and comments.
// Insights:
- Sentimental Analysis
- Calculating polarity of the comments
- Exploratory Data Analysis On Positive Sentiments
- Word Cloud for positive comments
- Exploratory Data Analysis On Negative Sentiments
- Word Cloud for negative comments
- Analyzing Tags column and trending tags on youtube
- Analysis on likes, views and Dislikes
- Emojis Analysis in comments
// Datasets used https://www.kaggle.com/akshat0311/youtube-comments-sentiment-analysis
Built With
- analysis
- dataset
- friend
- jupyter
- notebook
- python
Log in or sign up for Devpost to join the conversation.