COVID-19 Open Research Dataset (CORD-19)

covid19 textanalysis

Using Leximancer I have analysed the Custom license subset — 16959 full text (new: 15533), 345Mb Covid- 19 Open Research Dataset (Cord-19).

We suggest that future studies will benefit from the leveraging of information from the host’s and pathogen’s genomes, as well as from the exploration of models that incorporate heterogeneity across populations and phenotypes. Interactions within HLA genes or among HLA variants and polymorphisms located outside the major histocompatibility complex may also play an important role in shaping the susceptibility and response to invading pathogens.

The missing effect of calyculin on the GPI disproves the role of phosphatases in the potentiating action. These experimental studies should not only contribute to a better understanding of the potentiating mechanisms but also incorporate a shift in the research towards the immune system, in particular towards the immunocompetent polymorphonuclear leukocytes.

Recognition of Citizens’ Voice with Social Media

Dr Steven McDermott presenting at the Sage event


Dr. Steven McDermott, discusses his social media research at Her Majesty’s Revenue and Customs (HMRC) on the use of social media, machine learning, and considerations of ethics and privacy.

Transcript of the talk recognitionofcitizensvoice

Video Info

Publication Info

SAGE Publications Ltd
Publication Year: 
SAGE Research Methods Video: Data Science, Big Data Analytics, and Digital Methods
Publication Place:
London, United Kingdom
SAGE Original Production Type: 
SAGE Lectures
Copyright Statement: 
(c) SAGE Publications Ltd., 2019