Rob Procter spends much of his time researching Social media, Knowledge management, Artificial intelligence, Conditional random field and Classifier. Rob Procter has included themes like Internet privacy, Social network analysis, Task and Big data in his Social media study. Rob Procter has researched Knowledge management in several fields, including Value proposition, Software deployment, eHealth, Action research and Set.
His study looks at the intersection of eHealth and topics like Quality safety with Nursing. His Natural language processing research extends to Artificial intelligence, which is thematically connected. His Conditional random field research incorporates themes from Exploit and Precision and recall, Machine learning.
Rob Procter focuses on Knowledge management, Social media, World Wide Web, Public relations and Multimedia. His work on Sociotechnical system as part of general Knowledge management study is frequently connected to E infrastructure, therefore bridging the gap between diverse disciplines of science and establishing a new relationship between them. His Social media research incorporates elements of Data science, Artificial intelligence and Internet privacy.
His biological study spans a wide range of topics, including Machine learning and Natural language processing. Rob Procter connects Multimedia with Mammography in his study.
Rob Procter mainly investigates Social media, Artificial intelligence, Internet privacy, Natural language processing and Data science. His Social media research is multidisciplinary, relying on both Classifier, Public relations and Set. His Artificial intelligence research includes elements of Machine learning, Task and Data mining.
His Internet privacy research focuses on The Internet and how it relates to Big data and Identification. His Data science research integrates issues from Ideal, Metadata, Relevance and Openness to experience. His study brings together the fields of Knowledge management and Corporate governance.
Rob Procter spends much of his time researching Social media, Artificial intelligence, Natural language processing, Classifier and Conditional random field. Particularly relevant to Disinformation is his body of work in Social media. The concepts of his Natural language processing study are interwoven with issues in Sequence, Task and Task.
The Classifier study combines topics in areas such as Exploit and Precision and recall, Machine learning. The various areas that he examines in his Internet privacy study include Misinformation, Social media mining, Resolution and Openness to experience. His studies in Empirical research integrate themes in fields like Secondary research, Variety, Corporate governance and Harm.
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The impact of eHealth on the quality and safety of health care: a systematic overview.
Ashly D. Black;Josip Car;Claudia Pagliari;Chantelle Anandan.
Beyond Adoption: A New Framework for Theorizing and Evaluating Nonadoption, Abandonment, and Challenges to the Scale-Up, Spread, and Sustainability of Health and Care Technologies
Trisha Greenhalgh;Joseph Wherton;Chrysanthi Papoutsi;Jennifer Lynch.
Detection and Resolution of Rumours in Social Media: A Survey
Arkaitz Zubiaga;Ahmet Aker;Kalina Bontcheva;Maria Liakata.
Analysing how people orient to and spread rumours in social media by looking at conversational threads
Arkaitz Zubiaga;Maria Liakata;Rob Procter;Geraldine Wong Sak Hoi.
Reading the riots on Twitter: methodological innovation for the analysis of big data
Robert N. Procter;Farida Vis;Alex Voss.
What matters to older people with assisted living needs? A phenomenological analysis of the use and non-use of telehealth and telecare
Trisha Greenhalgh;Joe Wherton;Paul Sugarhood;Sue Hinder.
Making a Case in Medical Work: Implications forthe Electronic Medical Record
Mark Hartswood;Rob Procter;Mark Rouncefield;Roger Slack.
Adoption and use of Web 2.0 in scholarly communications
Rob Procter;Robin Williams;James Stewart;Meik Poschen.
Tweeting the terror: modelling the social media reaction to the Woolwich terrorist attack
Pete Burnap;Matthew L. Williams;Luke Sloan;Omer Rana.
SemEval-2017 Task 8: RumourEval: Determining rumour veracity and support for rumours
Leon Derczynski;Kalina Bontcheva;Maria Liakata;Rob Procter.
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