• Prasad Datta Nandgaonkar
• Ankita Vijay Pole
• Samiksha Gulrandhe
• Saniya Khan
• Prof. Samrudhi S. Mamarde

This paper presents an innovative approach to simplify travel planning by utilizing sentiment analysis. With the vast amount of information available online, travelers often find themselves overwhelmed. To address this issue, this research focuses on developing recommendation systems tailored specifically for tourism These systems employ advanced algorithms to sift through extensive data and provide users with relevant travel options. What sets our approach apart is the integration of sentiment analysis, which helps us gauge the emotions conveyed in user reviews. This allows us to offer personalized recommendations based not only on factual information but also on the experiences shared by other travelers. These systems aim to provide real-time assistance to travelers and are typically accessible through mobile applications.

Recommendation System, places of interest, Tourism information System, Database, Sentimental Analysis

"Travel Recommendation based on Sentimental Analysis", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.11, Issue 4, page no.l436-l444, April-2024, Available :http://www.jetir.org/papers/JETIR2404B58.pdf

"Travel Recommendation based on Sentimental Analysis", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.11, Issue 4, page no. ppl436-l444, April-2024, Available at : http://www.jetir.org/papers/JETIR2404B58.pdf