• Prathviraj Singh Solanki
• Ritika Patel
• Sanjana Choudhary
• Ashwinee Gadwal
• Nisha Rathi

We live in a world crammed with digital stuff. A heap of comments and online reviews, all made by users, makes things tough. We now need tools for sentiment analysis more than ever. This study digs into why those tools matter, what they can do, and how they respond to the rising tide of content made by users. It highlights the role of Natural Language Processing (NLP) and Deep Learning in taking the pulse of online reviews. The aim? A reliable way to gauge fe-elings from product reviews, to help stakeholders make choices based on solid data. With a digital world bulging at the seams and NLP and Deep Learning on the upswing, this project sees a clear need. We must figure out robust sentiment analysis in a world where opinions weigh heavily on decisions.

Sentiment Analysis, Natural Language Processing(NLP), Deep Learning, Online Reviews, Product Reviews.

"Sentiment Analysis", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.12, Issue 5, page no.203-209, May-2025, Available :http://www.jetir.org/papers/JETIRGV06029.pdf

"Sentiment Analysis", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.12, Issue 5, page no. pp203-209, May-2025, Available at : http://www.jetir.org/papers/JETIRGV06029.pdf