A Systematic Literature Review about Idea Mining: The Use of Machine-driven Analytics to Generate Ideas. (arXiv:2202.12826v1 [cs.IR])

Idea generation is the core activity of innovation. Digital data sources,
which are sources of innovation, such as patents, publications, social media,
websites, etc., are increasingly growing at unprecedented volume. Manual idea
generation is time-consuming and is affected by the subjectivity of the
individuals involved. Therefore, the use machine-driven data analytics
techniques to analyze data to generate ideas and support idea generation by
serving users is useful. The objective of this study is to study state-of
the-art machine-driven analytics for …

analytics arxiv ideas literature machine mining review