Abstract
ABSTRACT Manufacturing companies publish a variety of own data via social media platforms Twitter and also technical reports concerning the new technologies developed in-house. This study aims to analyse corporate social networking service data and technical reports to bring to light the technological innovations taking place in Japanese manufacturing companies. It uses text mining, a text data analysis method to extract useful information (from published technical reports) by dividing normal text data into words and phrases. The results show the strategic differences that exist between Twitter and technical reports in terms of bringing new information to consumers and companies.
Sign-in/Register to access full text options 
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callDisclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
