To avoid any confusion: I did not come up with most of these features. They are based on these papers (hopefully I have not forgotten any):<p>* Exploring technological opportunities by linking technology and products: Application of morphology analysis and text mining (Byungun Yoon a,⁎, Inchae Park a, Byoung-youl Coh b)
* Technology opportunity discovery (TOD) from existing technologies and products: A function-based TOD framework (Janghyeok Yoon a, Hyunseok Park b, Wonchul Seo c, Jae-Min Lee d, Byoung-youl Coh d,⁎, Jonghwa Kim a,⁎⁎)
* Investigating technology opportunities: the use of SAOx analysis (Kyuwoong Kim1 · Kyeongmin Park1 · Sungjoo Lee1)
* Identification and monitoring of possible disruptive technologies by patent-development paths and topic modeling (Abdolreza Momeni a, Katja Rost b,⁎)
* A New Product Growth for Model Consumer Durables (Frank M. Bass)
* Identifying rapidly evolving technological trends for R&D planning using SAO-based semantic patent networks (Janghyeok Yoon • Kwangsoo Kim)
* Innovation hotspots in food waste treatment, biogas, and anaerobic digestion technology: A natural language processing approach (Djavan De Clercq a, Zongguo Wen a,⁎, Qingbin Song b)
* TrendPerceptor: A property–function based technology intelligence system for identifying technology trends from patents (Janghyeok Yoon, Kwangsoo Kim)
What it does: Uses NLP to extract technology-related information form patents, Wikipedia etc. and then analyzes these technologies.<p>Technology-related information are: functions (what the technology can do) and properties/components (of what is this technology made up)
I've toyed with scripts from my NLP research, but nothing to this extent. Kudos.<p>The webpage looks clean. The ratios of graphic elements to their scale is pleasant. The two-tone color palette is pleasant. The line length in the main screen (~140 c/l) is a bit much for my taste.<p>As far as the Try now, I'm not sure how these relate to each other. Maybe a video demo walk-through taking one technology, such as the digital watch (which we are all familiar) and walking it through the site?<p>As a "Try now" user, until I can throw in any random data and see it propagate through your product, I won't realize what you've accomplished.