Discovering Latent Topics of Digital Technologies From Venture Activities Using Structural Topic Modeling

This study attempts to explain the interplay between digital technologies and venture creation using structural topic modeling (STM), an automatic text analysis method, to detect latent topics related to digital technologies from large texts. The profile data of 133 344 U.S. companies from CrunchBase are analyzed. The data provide detailed descriptions in text about each company: what each company does. STM enables identification of topics...