Paper Key : IRJ************280
Author: Kirti Kotwal, Gargi Mohale, Vishakha Langhi, Nilam Bhapkar, Mrs.varsha Rajmane
Date Published: 02 Feb 2025
Abstract
Over time, textual information has increased exponentially, resulting to the potential research within the field of machine learning (ML) and natural language processing (NLP). Sentiment analysis of you-tube comments is a very interesting topic nowadays.While many of these videos have a significant number of user comments and reviews, little work has been done so far in extracting trends from these comments due to their low information consistency and quality. In this paper we perform sentiment analysis on the YouTube comments related to popular topics using machine learning techniquesalgorithms. We demonstrate that an analysis of the sentiments to spot their trends, seasonality and forecasts can provide a transparent picture of the influence of real-world events on public sentiments. The noise was cleaned from data using different data normalization rules in order to clean the comments from the corpus. To perform classification on this data set we developed a system in which machine learning algorithm Support Vector Machine (SVM) is used.