3408391
doi
10.5281/zenodo.3408391
oai:zenodo.org:3408391
user-h_da
user-visual-trend-analytics
user-h_da-vis
Burkhardt, Dirk
Darmstadt University of Applied Sciences
Visual Text Analytics for Technology and Innovation Management
Nazemi, Kawa
Darmstadt University of Applied Sciences
info:eu-repo/semantics/openAccess
Other (Attribution)
Visual Text Analytics
Technology Management
Innovation Management
Text Analysis
Business Analytics
Trend Analytics
<p>Through coupling of Data Mining, Visual Analytics and Business Analytics techniques, we created a novel solution for strategic market analysis with focus on early trend recognition. As fundament, we are able to consider a variety of text data, as for instance research publications available from a number of (open access) digital libraries, reports and other data from companies, web data about markets as well as news from companies or social media data etc. In an advanced and unified processing pipeline, the information is extracted and mined for a variety of analytical purposes. Via an interactive analysis user-interface, domain experts are able to analysis strong and weak signals in perspective of upcoming trends.</p>
Zenodo
2019-09-13
info:eu-repo/semantics/conferencePaper
3408390
user-h_da
user-visual-trend-analytics
user-h_da-vis
v1
1579542379.541973
582983
md5:1d66db9ed942585d0ff6747755e9c564
https://zenodo.org/records/3408391/files/ORM2019_ExtendedAbstract_Burkhardt.pdf
public
10.5281/zenodo.3408390
isVersionOf
doi