An application of people’s sentiment from social media to smart cities

Estévez-Ortiz, Francisco-José; Jiménez, Antonio García; Glösekötter, Peter

doi:10.3145/epi.2016.nov.02

Cited by 20 publications

(13 citation statements)

References 5 publications

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“…In the last few years, a wide range of scientific research has aimed to study the large amount of new data generated by internet users. Some applications have already been made in order to evaluate the sentiments of people related to any topic (Estévez‐Ortiz, García‐Jiménez, & Glösekötter, ; Zola, Cortez, Ragno, & Brentari, ) and to measure the outcomes of different disclosure strategies (Castelló, Etter, & Årup Nielsen, ; Colleoni, ; Etter et al, ). In this paper, we suggest the use of social media data and sentiment analysis to study the interactions on FB between stakeholders and PUs regarding environmental disclosure.…”

Section: Introductionmentioning

confidence: 99%

Environmental disclosure and stakeholder engagement via social media: State of the art and potential in public utilities

Giacomini

Zola

Paredi

et al. 2020

Corp Soc Responsibility Env

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The concept of sustainable development has become dominant in the current socio‐economic debate at the global level. In particular, environmental issues have become increasingly central in the action of all organisations: private, public, and hybrid. Analysing a sample of Italian public utilities, we studied the level of disclosure regarding environmental topics via public Facebook pages. The aim of this study is to evaluate the impact of Web 2.0 on municipally owned public utilities' voluntary disclosure of environmental issues and stakeholder interest in this field. The findings show that the use of Facebook by public utilities to disclose environmental issues is still at an early stage. However, it is constantly growing, especially in the larger companies and in those with mixed public/private ownership.

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Section: Introductionmentioning

confidence: 99%

Environmental disclosure and stakeholder engagement via social media: State of the art and potential in public utilities

Giacomini

Zola

Paredi

et al. 2020

Corp Soc Responsibility Env

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“…Though the EDEN project run into multiple obstacles, the project managers and engineers concluded that “it seems reasonable to approach e-democracy by seeking a democratic approach to software solutions” ( Carenini, Whyte, Bertorello and Vanocchi, 2007 , p. 27). Computer scientists also developed NLP applications to function as a citizen feedback gathering tool ( Estévez-Ortiz et al, 2016 ), a citizen concern detector ( Abali et al, 2018 ), and an urban community identifier ( Vargas-Calderón and Camargo, 2019 ), and all showed promising results. In addition, combining NLP with interviews and focus groups, Bardhan et al (2019) discovered gender inequality in Indian slum rehabilitation housing management, which suggested a need for a more systematic participatory approach to improve well-being among the rehabilitated occupants.…”

Section: Applications Of Nlp In Urban Researchmentioning

confidence: 99%

Natural language processing for urban research: A systematic review

Cai

2021

Heliyon

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Natural language processing (NLP) has shown potential as a promising tool to exploit under-utilized urban data sources. This paper presents a systematic review of urban studies published in peer-reviewed journals and conference proceedings that adopted NLP. The review suggests that the application of NLP in studying cities is still in its infancy. Current applications fell into five areas: urban governance and management, public health, land use and functional zones, mobility, and urban design. NLP demonstrates the advantages of improving the usability of urban big data sources, expanding study scales, and reducing research costs. On the other hand, to take advantage of NLP, urban researchers face challenges of raising good research questions, overcoming data incompleteness, inaccessibility, and non-representativeness, immature NLP techniques, and computational skill requirements. This review is among the first efforts intended to provide an overview of existing applications and challenges for advancing urban research through the adoption of NLP.

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“…Besides cities and communities, the target group of sentiment analysis benefi ciaries may constitute chain stores, banks, fi nancial institutions, distribution networks and non-profi t organizations. Estevez-Ortiz et al (2016) showed the role of people's sentiment in social media towards smart cities and smart governance, where the authors conducted a "categorization of opinions and expressions in social networks, linked to entities, facts, and properties". They presented the interaction between the sentiments of society, internet opinions, and local governance.…”

Section: Areas Of Sentiment Analysis Applicationmentioning

confidence: 99%

Planning Cities Development Directions with the Application of Sentiment Analysis

Jelonek¹,

Stępniak²,

Turek³

et al. 2020

Prague Economic Papers

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The aim of the article is to present a model of sentiment analysis tool application for planning directions of city development. The study presents a model of using sentiment analysis to build city development strategies as well as realization of projects related to it. The presented model is a part of a larger work on developing the concept of the Regional Spatial Business Community (RSBC). The RSBC is created on the basis of electronic communities built by stakeholders involved in the development of a given city. On the basis of surveys, a six-stage city development procedure is proposed. Using the aforementioned procedure, we describe potential data sources, the goals of sentiment analysis application and expected effects. Analyses of the applicability of sentiment analysis are made on the basis of observation of available tools. The obtained model is applicable; however, its implementation requires certain conditions to be met.

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An application of people’s sentiment from social media to smart cities

Cited by 20 publications

References 5 publications

Environmental disclosure and stakeholder engagement via social media: State of the art and potential in public utilities

Environmental disclosure and stakeholder engagement via social media: State of the art and potential in public utilities

Natural language processing for urban research: A systematic review

Planning Cities Development Directions with the Application of Sentiment Analysis

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