At the end of last year, I presented a webinar to the American Medical Informatics Association on clinical text mining and text engineering – applying text mining to medical records. This is not an area that we are concentrating on in OpenMinTeD, but it is still an area on which we should keep a watchful eye. There is a rapid growth of text mining over medical records, and it exposes issues and problems that we need to be aware of.
The OpenMinTeD project is divided into different tasks. It is the task of Agroknow to carry out the important job of gathering TDM requirements from our stakeholders (OpenMinTeD’s future platform users and contributors), so that OpenMinTeD will build a TDM platform that meets the requirements of our platform stakeholders as good as possible. We focus on gathering requirements from four different scientific domains, represented by the following different communities.
Final Call for Submissions: Cross-Platform Text Mining and Natural Language Processing Interoperability
Recent years have witnessed an upsurge in the quantity of available digital research data, offering new insights and opportunities for improved understanding. Following advances in Natural Language Processing (NLP), Text and data mining (TDM) is emerging as an invaluable tool for harnessing the power of structured and unstructured content and data. Hidden and new
knowledge can be discovered by using TDM at multiple levels and in multiple dimensions. However, text mining and NLP solutions are not easy to discover and use, nor are they easy to combine for end users.