• Jayshree Gaikwad
• Prof Sugandha Nandedkar

Traveler reviews are a source of information for tourists to know about tourist attractions. Unfortunately, some reviews are irrelevant and become noisy. The method of classifying sentiment based on views has shown promise in silence. However, very little research has been done on automatic characterization and infrequently identified implications, and co-dependency results in classification. This article presents a framework aspect of the classification of confidence that will not only But identifies very effective aspects But can perform classification tasks with high accuracy The framework has been adopted as a mobile app that helps tourists find the best restaurants or hotels in town.

NLP,POS,Penn Tree Bank, Opinon Analysis

"Sentiments Analysis on Tourist's Reviews Using NLP", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.7, Issue 11, page no.112-117, November-2020, Available :http://www.jetir.org/papers/JETIR2011314.pdf

"Sentiments Analysis on Tourist's Reviews Using NLP", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.7, Issue 11, page no. pp112-117, November-2020, Available at : http://www.jetir.org/papers/JETIR2011314.pdf