Norwich Research Park Featured PhD Programmes
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text mining PhD Projects, Programs & Scholarships

We have 11 text mining PhD Projects, Programs & Scholarships

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We have 11 text mining PhD Projects, Programs & Scholarships

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Detection of interval cancers of Upper GI Tract using advanced text mining methods

According to various studies [1,2,3], upper gastrointestinal (UGI) cancers are frequently missed at endoscopy. Also the percentage of early diagnosis of such cancers is relatively low around 12% and has remained unchanged for an number of years. Read more

Detection and utilisation of learning-related emotion using machine learning within an education setting

Applications are invited for a self-funded, 3 year full-time or 6 year part-time PhD project. The PhD will be based in the School of Computing and will be supervised by Dr Alaa Mohasseb and Dr Ella Haig. Read more

Detection of emotional states from speech and text

Applications are invited for a self-funded, 3 year full-time or 6 year part-time PhD project. The PhD will be based in the School of Computing, and will be supervised by. Read more

Mining question and answer (QA) websites to support software practitioners to improve the software development process

Software engineering and data analytics is an active and important research area with many opportunities for innovation.  This project will provide an opportunity to pursue research in the area of data science and software engineering. Read more

In-situ mining without drilling - a paradigm shift in metal extraction

Project Highlights. Gain expertise in novel methods of processing minerals in high ionic strength media. Visit industry to gain insight into current hydrometallurgical mineral processing techniques. Read more

Mining natural language sequences for authorship identification

Authorship identification, sometimes also called authorship attribution or authorship analysis, is the task of determining who wrote a document based on the author’s use of language. Read more

Knowledge discovery with logical generative model

  Research Group: Data and Knowledge Engineering
This project aims to study and implement algorithms for knowledge discovery from potentially inconsistent, incomplete, dynamic, subjective and distributed data. Read more
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