• Darshan Kolhe
• Soham Pal
• Samiksha Raut
• Freny Babaria

In the digital age, internet reviews are critical to restaurant success. However, manual analysis of these reviews is ineffective and prejudiced. This research investigates sentiment analysis, an automated technique used to overcome these restrictions and get deeper customer insights. We propose a sentiment analysis project to determine customer sentiment in restaurant reviews. This research has substantial advantages over previous methods due to its use of Natural Language Processing (NLP) and machine learning. By automating sentiment analysis, restaurants can acquire important insights from customer comments, allowing them to make data-driven decisions to improve customer happiness and gain a competitive advantage.

Sentimental Analysis, Restaurant reviews, Natural Language Processing, Text Classification

"Beyond the Stars : Unveiling Customer Sentiment in Restaurant Reviews", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.11, Issue 5, page no.f491-f497, May-2024, Available :http://www.jetir.org/papers/JETIR2405558.pdf

"Beyond the Stars : Unveiling Customer Sentiment in Restaurant Reviews", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.11, Issue 5, page no. ppf491-f497, May-2024, Available at : http://www.jetir.org/papers/JETIR2405558.pdf