In this world of ever-increasing volume and variety of textual data, there is a growing variety of tools and technologies to handle and get value from these data. We hear about a potentially bewildering barrage of AI technologies including Natural Language Processing (NLP), Machine learning, and other textual data science applications. A recent blog I read highlighted this, with a Venn covering over a dozen different disciplines (see figure below). These techniques all bring benefits, but often we just need straightforward simple access to our unstructured text data.
Empower a wide variety of users to find relevant data with high recall and precision
Linguamatics I2E brings a combination of powerful text mining tools to many pharma, biotech and healthcare users. We recognize that users’ -demands vary, and so we have created I2E Web Portals. I2E Web portals aim to engage users that want rapid easy access to scientific knowledge from both public domain knowledgebase (e.g. MEDLINE, ClinicalTrials.gov) and internal data silos, ranging from regulatory dossiers, preclinical safety data, patient/customer call transcripts, and many more.