[HTML][HTML] Data science for engineering design: State of the art and future directions

F Chiarello, P Belingheri, G Fantoni - Computers in Industry, 2021 - Elsevier
Engineering design (ED) is the process of solving technical problems within requirements
and constraints to create new artifacts. Data science (DS) is the inter-disciplinary field that …

Sentiment analysis for formative assessment in higher education: a systematic literature review

C Grimalt-Álvaro, M Usart - Journal of computing in higher education, 2023 - Springer
Sentiment Analysis (SA), a technique based on applying artificial intelligence to analyze
textual data in natural language, can help to characterize interactions between students and …

Technology identification from patent texts: A novel named entity recognition method

G Puccetti, V Giordano, I Spada, F Chiarello… - … Forecasting and Social …, 2023 - Elsevier
Identifying technologies is a key element for mapping a domain and its evolution. It allows
managers and decision makers to anticipate trends for an accurate forecast and effective …

[HTML][HTML] Towards ESCO 4.0–Is the European classification of skills in line with Industry 4.0? A text mining approach

F Chiarello, G Fantoni, T Hogarth, V Giordano… - … Forecasting and Social …, 2021 - Elsevier
ESCO is a multilingual classification of Skills, Competences, Qualifications, and Occupations
created by the European Commission to improve the supply of information on skills demand …

Using neutral sentiment reviews to improve customer requirement identification and product design strategies

M Zhang, L Sun, GA Wang, Y Li, S He - International Journal of Production …, 2022 - Elsevier
A clear understanding of customer needs is key to the success of product design strategies.
Traditional methods of understanding customer needs rely on costly marketing surveys and …

Natural language processing in-and-for design research

L Siddharth, L Blessing, J Luo - Design Science, 2022 - cambridge.org
We review the scholarly contributions that utilise natural language processing (NLP)
techniques to support the design process. Using a heuristic approach, we gathered 223 …

[HTML][HTML] A sentiment analysis framework to classify instances of sarcastic sentiments within the aviation sector

AM Iddrisu, S Mensah, F Boafo, GR Yeluripati… - International Journal of …, 2023 - Elsevier
Social media in our current dispensation has become an integral part of daily routines. As a
result, it is abundant in user opinions. Amid a global pandemic, these online platforms have …

Challenges for data-driven design in early physical product design: A scientific and industrial perspective

T Briard, C Jean, A Aoussat, P Véron - Computers in Industry, 2023 - Elsevier
With the rapid development of digital technologies, complex products are becoming more
connected. Alongside, the usage of data in the product development process keeps on …

Text mining tool for translating terms of contract into technical specifications: Development and application in the railway sector

G Fantoni, E Coli, F Chiarello, R Apreda… - Computers in …, 2021 - Elsevier
Tenders or technical terms contain a large quantity of both technical, legal, managerial
information mixed in a nested and complex net of relationships. Extracting technical and …

Unveiling the inventive process from patents by extracting problems, solutions and advantages with natural language processing

V Giordano, G Puccetti, F Chiarello, T Pavanello… - Expert Systems with …, 2023 - Elsevier
Patents are the main means for disclosing an invention. These documents encompass many
steps of the inventive process starting with the definition of the problem to be solved and …