SOLUTIONS
The amount of literature in the different fields of sciences has skyrocketed in the past decade.
From 2010 professionals have released a massive amount of new publications (about 2.5 million new scientific articles yearly), with what we, humans, cannot possibly keep up in terms of reading, highlighting, analysing, categorizing – in general, processing to a higher standard to make it useful.
It is not practical to hire more and more people to do the job – they simply cannot handle this workload. The easiest solution would be, of course, to leave it to the machines.
Surely, there are softwares that can deal with this enormous amount of scientific literature, right?
Well, sure, but most of them are slow or too complicated, even basic. They struggle to highlight and understand scientific terms. It’s too complex; there are way too many variables.
How are we going to be able to keep up with all the new findings and amelioration?
Luckily, we got you!
We at HubScience make sure you can find all the useful insights between these floods of data easily. We know science is complex and the source of literature is diverse, so we developed our product to be able to understand even the most complex document format, PDF.
You won’t miss anything relevant while your text mining efficiency will be higher than you could ever have imagined. With HubScience, you can process data 900 times faster, and not miss any critically important info! This is what we call Extreme Deep Text Analysis (EDTA).
Custom tailored text mining services
HubScience offers a complete package for knowledge management from the development of necessary toolkits to the implementation of the complete workflow supported by its professional data curator, developer and NLP team.
HubScience offers custom solutions for any text mining related problem:
Vocabulary
Building vocabularies, synonym dictionaries for any selected topic by a team of HubScience professionals
Ontology
Constructing ontologies for any topics by the HubScience professional team
E.D.T.A
Training machine learning algorithm – E·D·T·A – for the automated annotation of any topics
Knowledge
Extracting knowledge from big data elements and structuring the information
Integration
Integrating HubScience technology into any 3rd party software
Training
Providing training on text mining best practices
Walkthrough
Complete walkthrough the text mining process from implementation to production
Support
Continuous technical and scientific support on text mining processes