HUBSCIENCE is a text analysis application
developed by researchers to enhance
scientific literature reading and data extraction.
Save research time with automated text processing
Find the most important papers in a specific domain
Expand your dictionary while reading
Take a look at the knowledge graph that summarizes the mined data
Browse the database of results
Work with your teammates on the same project
Find quantitative data automatically
Highlight the data that is important to you from the unstructured text
Teach the application engine.
Get more knowledge by every click.
The global research community generates over 1.5 million new scholarly articles per annum.
McKinsey Global Institute (MGI): creative use of large data sets in the US health care sector could generate more than $300bn in value per annum and reduce national health care expenditures by around 8%.
Using such text mining-enhanced services reduces the manual effort required from researchers to undertake a systematic review by 75%.
A major pharmaceutical company used text mining tools to evaluate 50,000 patents in 18 months. This would have taken 50 person years to achieve.
PubMed alone has 21 million citations for abstracts or full articles and this is increasing at a rate of two per minute.
(source: Value and benefits of text mining)
10-11 MARCH, 2021 ONLINE EVENT
The digital event for the latest trends in life sciences and health
CI IN PHARMA
27-28 APRIL 2021
Digital Summit for Competitive Intelligence Specialists & Strategists
12 MAY, 2021
The biggest networking event for life sciences and healthcare industries in the German capital region
Boost your research with technology 1#
16 JUN 2021
HubScience team introduced the challenges of scientific research with special focus on processing enormous amount of literature.
Boost your research with technology 2#
We introduce a unique way HubScience team built a complex text-mining solution, with the use of a rich interfaces and automated functions.
Boost your research with technology 3#
HubScience team is launching a serial of demonstrations about how the operation of the automated text-mining tool supports support specific research topics. Our first topic is Smart City