Text Mining and Natural Language Processing in the Built Environment
A special issue of Buildings (ISSN 2075-5309). This special issue belongs to the section "Building Energy, Physics, Environment, and Systems".
Deadline for manuscript submissions: 30 November 2024 | Viewed by 195
Special Issue Editors
Interests: sentiment classification; sustainable building environment; data mining
Interests: inspection and diagnosis of built heritage; structural health monitoring; digital construction
Special Issues, Collections and Topics in MDPI journals
Interests: service life prediction, durability and life cycle of buildings and their components; maintenance modelling; statistical models
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
The sustainability of the built environment can only be achieved through a set of goals, including greenhouse gas emission targets, decarbonizing the economy, promoting circularity, embracing digitalization, and enhancing biodiversity, all while respecting aesthetics and fostering inclusion. Ensuring that citizens are at the centre of this development is crucial for the success of all these measures. Furthermore, digitalization generates a substantial amount of information in electronically published formats, stored across various platforms, such as social media, emails, drawings, contracts, and news outlets, to name a few.
Text mining and natural language processing offer enhanced capabilities for managing and analysing text-based information in the construction sector and urban environment. Integrating these applications into sustainable development practices can further optimize decision-making processes, reveal patterns of behaviours, and support numerous sectors within the built environment. This Special Issue intends to provide an overview of the existing knowledge related with various aspects of Text Mining and Natural Language Processing in the Built Environment. Original research, theoretical and experimental, case studies, and comprehensive review papers are welcome. The relevant topics include, but are not limited to, the following subjects:
- The operation and maintenance of infrastructures;
- Risk assessment;
- Urban planning and development;
- Users’ preferences and perceptions;
- Safety management;
- Stakeholders management;
- Life cycle assessment.
Dr. Maria Paula Mendes
Dr. Jónatas Valença
Dr. Ana Silva
Guest Editors
Manuscript Submission Information
Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.
Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Buildings is an international peer-reviewed open access monthly journal published by MDPI.
Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 2600 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.
Keywords
- operations and maintenance of infrastructures
- risk assessment
- urban planning and development
- users’ preferences and perceptions
- safety management
- stakeholders management
- life cycle assessment
