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Natural Language Processing (NLP), the deciphering of text and data by machines, has revolutionised data analytics across all industries. It is the artificial intelligence-driven process of making human input language decipherable to software. In this course, we will showcase NLP use cases that are relevant to the HPC and STEM communities. One of the typical concerns that impacts all researchers is the analysis of literature where, for example, using automatic text mining techniques would save a huge amount of time in terms of literature reviewing and text summarising. This is traditionally done by researchers at the early stage of a research project and is time consuming and labour intensive. NLP will help not only to speed up this process but also provide a much more comprehensive overview by extracting all the relevant papers from a global scholarly connected database. In this course, we will teach how to clean the text data, analyse the text and provide a quick overview of the whole literature database.

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