• Samira Jathar
• Bhavik Sachani
• Heet Kalaria
• Manasi Gohil

Natural Language Processing (NLP) is a disciplined of artificial intelligence that aims to understand and interpret human language in context. With the rise of social media, NLP can be used in social media analytics to enhance decision-making, analyses user sentiments, speed up data processing, and gain deeper knowledge of user behavior. This paper explores the application of NLP techniques in analyzing social media content to uncover trends, sentiment, and patterns.

Natural Language Processing, sentiment analysis, social media analytics

"From Tweets to Trends: NLP -Driven Social Media Sentiment Analysis", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.11, Issue 1, page no.g309-g313, January-2024, Available :http://www.jetir.org/papers/JETIR2401635.pdf

"From Tweets to Trends: NLP -Driven Social Media Sentiment Analysis", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.11, Issue 1, page no. ppg309-g313, January-2024, Available at : http://www.jetir.org/papers/JETIR2401635.pdf