Monuments serve as both material and symbolic anchors of memory, identity, and emotion within society. The semiotic and socio-cultural understanding of monuments was outlined by Bellentani and Panico. This research investigates the public perception and emotional engagement with 123 historical monuments through sentiment analysis of 125,444 user-generated reviews. In this work, a novel approach has been proposed, that utilizes Term Frequency-Inverse Document Frequency for feature extraction and for sentiment classification, Extreme Gradient boosting has been used. An accuracy of 94% was attained on a sample of 12,300 reviews. It was concluded that public interactions with monuments along with the dynamic have a huge impact in cultural meaning-making. Interdisciplinary research is focused in this work that bridges sentiment analysis with cultural symbols such as monuments.