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GRENZE International Journal of Engineering and Technology Vol. 11 (2025), Issue 1

Sentiment Analysis of Social Media Platforms: Concepts, Techniques, Challenges

Authors

Manish K. Hadap, Anurag Zawar, Himanshu Saurkar, Pawan Dawake, Pragati Likhar

Abstract

Sentiment analysis is a vital field focused on understanding the spectrum of emotions, opinions, and attitudes expressed across various social media platforms. By analyzing textual content, researchers aim to categorize sentiments as neutral, positive, or negative. This analytical approach holds immense value in assessing consumer perceptions, brand sentiments, and product preferences. With the omnipresence of social media, individuals worldwide have a platform to voice their thoughts and emotions, making it a rich source for sentiment analysis. Monitoring social media activities enables businesses to gauge consumer sentiment and measure brand loyalty effectively. This study specifically delves into the realm of YouTube comments, utilizing sentiment analysis to quantify the sentiments expressed towards videos. By examining the distribution of positive, neutral, and negative comments, researchers aim to discern patterns that may correlate with the popularity or engagement level of videos.