Open Geospatial Data Contribution Towards Sentiment Analysis Within the Human Dimension of Smart Cities

Research output: Chapter in Book/Report/Conference proceedingChapter

Abstract

In recent years, there is a widespread growth of smart cities. These cities
aim to increase the quality of life for its citizens, making living in an urban space
more attractive, livelier, and greener. In order to accomplish these goals, physical sensors are deployed throughout the city to oversee numerous features such as environmental parameters, traffic, and the resource consumption. However, this concept lacks the human dimension within an urban context, not reflecting how humans perceive their environment and the city’s services. In this context there is a need to consider sentiment analysis within a smart city as a key element toward coherent decision making, since it is important not only to assess what people are doing, but also,why they are behaving in a certainway. In this sense, thiswork aims to assemble tools and methods that can collect, analyze and share information, based on User Generated spatialContent and Open Source Geospatial Science. The emotional states of citizens were sensed through social media data sources (Twitter), by extracting features (location, user profile information and tweet content by using the Twitter Streaming API) and applying machine learning techniques, such as natural language processing (Tweepy 3.0, Python library), text analysis and computational linguistics (Textblob, Python library). With this approach we are capable to map abstract
concepts like sentiment while linking both quantitative and qualitative analysis in
human geography. Thisworkwould lead to understand and evaluate the “immaterial” and emotional dimension of the city and its spatial expression, where location-based social networks, can be established as pivotal geospatial data sources revealing the pulse of the city.
Original languageEnglish
Title of host publicationOpen Source Geospatial Science for Urban Studies
Subtitle of host publicationThe Value of Open Geospatial Data
EditorsAmin Mobasheri
Place of PublicationGewerbestrasse 11, 6330 Cham, Switzerland
PublisherSpringer
Chapter5
Pages75-95
Number of pages20
ISBN (Electronic)978-3-030-58232-6
ISBN (Print)978-3-030-58231-9
DOIs
Publication statusPublished - 8 Sep 2020

Publication series

NameLecture Notes in Intelligent Transportation and Infrastructure
PublisherSpringer

UN Sustainable Development Goals (SDGs)

  • SDG 11 - Sustainable Cities and Communities

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