5 big data software solution trends in Intellectual Property management
Big data has the potential to improve the quality of business decisions by enabling text and data mining of vast amounts of data and delivering actionable insights which in the domain of Intellectual Property management is invaluable. Big data software solutions has created waves in the technology circles with discussions around it’s applications to commerce, […]
Patent Analysis Software – Going from 3000 search results to the relevant 30
Have you ever tried an internet search on Google or Yahoo hoping that there will be some results on what you were looking for only to find there were so many results that you found yourself overwhelmed? Overload of information is a common and consistent challenge. The same applies to innovators, researchers and those who […]
Quantitative Portfolio Analysis and picking up patents for less
The current economic environment is a good time to be picking up patents at pennies to the dollar either directly from inventors or smaller companies for quickly enhancing the existing patent portfolio and thereby increasing your counter-sue threat to anyone who may sue you for infringement. One of the popular techniques is Quantitative Portfolio Gap […]
Corporate IP Practitioner’s need for flexibility and transparency
Corporate IP practitioners, both managers and analysts have IP needs that are different from external consultants and IP Analysis service providers. Chances are if you are corporate IP practitioner, when you initiate IP research for a new product/technology area, mapping intellectual-property is just one aspect of analyzing IP and a lot of your day to […]
On Patent Text Clustering
Amongst various analyses performed on patents, the area where specialized software helps immensely is text-mining and two of the most popular text mining techniques used over patent data are: – Text segmentation / Tokenization – Text Clustering / Topic identification Text segmentation is a process of analyzing the patent text and identifying smaller meaningful segments […]