TY - GEN
T1 - Applying Text Mining to Analyze Human Question Asking in Creativity Research
AU - Wròblewska, Anna
AU - Korbin, Marceli
AU - Kenett, Yoed N.
AU - Dan, Daniel
AU - Ganzha, Maria
AU - Paprzycki, Marcin
N1 - Publisher Copyright:
© The Author(s), under exclusive license to Springer Nature Switzerland AG 2025.
PY - 2025
Y1 - 2025
N2 - Creativity relates to the ability to generate novel, and effective, ideas in the areas of interest. How are such creative ideas generated? One possible mechanism that supports creative ideation, and is gaining increased empirical attention, is by asking questions. Question asking is a likely cognitive mechanism that allows defining problems, facilitating creative problem solving [15]. However, much is unknown about the exact role of questions in creativity. This work presents an attempt to apply text mining methods to measure the cognitive potential of questions, taking into account, among others, (a) question type, (b) question complexity, and (c) content of the answer. This contribution summarizes the history of question mining as a part of creativity research, along with the natural language processing methods deemed useful, or helpful, in the study. Furthermore, a novel approach is proposed, implemented, and applied to five datasets. Obtained experimental results are comprehensively analyzed, suggesting that natural language processing has a role to play in the creativity research.
AB - Creativity relates to the ability to generate novel, and effective, ideas in the areas of interest. How are such creative ideas generated? One possible mechanism that supports creative ideation, and is gaining increased empirical attention, is by asking questions. Question asking is a likely cognitive mechanism that allows defining problems, facilitating creative problem solving [15]. However, much is unknown about the exact role of questions in creativity. This work presents an attempt to apply text mining methods to measure the cognitive potential of questions, taking into account, among others, (a) question type, (b) question complexity, and (c) content of the answer. This contribution summarizes the history of question mining as a part of creativity research, along with the natural language processing methods deemed useful, or helpful, in the study. Furthermore, a novel approach is proposed, implemented, and applied to five datasets. Obtained experimental results are comprehensively analyzed, suggesting that natural language processing has a role to play in the creativity research.
KW - Creativity
KW - Measuring questions
KW - Natural language processing
KW - Question asking
UR - http://www.scopus.com/inward/record.url?scp=105002571712&partnerID=8YFLogxK
U2 - 10.1007/978-3-031-86193-2_4
DO - 10.1007/978-3-031-86193-2_4
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AN - SCOPUS:105002571712
SN - 9783031861925
T3 - Lecture Notes in Computer Science
SP - 44
EP - 73
BT - Big Data Analytics in Astronomy, Science, and Engineering - 12th International Conference on Big Data Analytics, BDA 2024, Proceedings
A2 - Sachdeva, Shelly
A2 - Watanobe, Yutaka
A2 - Bhalla, Subhash
T2 - 12th International Conference on Big Data Analytics, BDA 2024
Y2 - 26 November 2024 through 28 November 2024
ER -