Sentiment Analysis of YouTube Comments
Saurabh Chakraborty, Rutika Zambre, Hrishikesh Sharma, Tapash Gaikwad, Nitin Janwe · International Journal of Advanced Research in Science Communication and Technology · 2024
This study explores sentiment analysis of YouTube comments using machine learning algorithms including CNN, LSTM, SVM, Naive Bayes, and Random Forest. Implementing ensemble learning techniques, we evaluate their accuracies to understand public sentiment. The backend is built with Django, frontend with Vue.js, facilitating user-friendly visualization of results. Our findings highlight ensemble learning's effectiveness in enhancing sentiment analysis accuracy, offering insights into public sentiment on online platforms