# Tales of a City: Sentiment Analysis of Urban Green Space in Dublin

arXiv: https://arxiv.org/abs/2107.06041 · HTML: https://mlsanity.com/paper/2107.06041/

## Key facts

- Cited by 1 papers in the map (data through 14 Oct 2026).
- First posted on arXiv 13 Jul 2021.

## Built on by (most cited first, 1 of 1)

- [IoT-based Route Recommendation for an Intelligent Waste Management System](https://mlsanity.com/paper/2201.00180/) (2022)

## Abstract (arXiv)

Social media services such as TripAdvisor and Foursquare can provide opportunities for users to exchange their opinions about urban green space (UGS). Visitors can exchange their experiences with parks, woods, and wetlands in social communities via social networks. In this work, we implement a unified topic modeling approach to reveal UGS characteristics. Leveraging Artificial Intelligence techniques for opinion mining using the mentioned platforms (e.g., TripAdvisor and Foursquare) reviews is a novel application to UGS quality assessments. We show how specific characteristics of different green spaces can be explored by using a tailor-optimized sentiment analysis model. Such an application can support local authorities and stakeholders in understanding--and justification for--future urban green space investments.