Problem, research strategy, and findings Planners need to read plans learn adapt current practice. may struggle find time study lengthy planning documents, especially in emerging areas such as climate change urban resilience. Recently, natural language processing (NLP) has shown promise big textual data. We asked whether planners could use NLP techniques more efficiently extract useful reliable...

The meeting between Natural Language Processing (NLP) and Quantum Computing has been very successful in recent years, leading to the development of several approaches so-called (QNLP). This is a hybrid field which potential quantum mechanics exploited applied critical aspects language processing, involving different NLP tasks. Approaches developed so far span from those that demonstrate advanta...

Abstract This paper develops a novelty measure for patents. We devise text-based using natural language processing (NLP) techniques. The proposed method is applied on patents that belong to common category, which represents subset of under specific patent class. then extract the novelty-value profile those and discuss use case product design development (i.e., extracting predicting inventive va...