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How to make word cloud in nvivo9/21/2023 ![]() ![]() Priority is given to research articles asking questions of direct relevance to patient care.’ 2 The image generated can be seen on the cover of this Journal.Īccording to its editorial policy, the BJGP is ‘an international journal publishing articles of interest to primary care clinicians, researchers, and educators worldwide. 1Ī word cloud analysis of the entire content of the British Journal of General Practice from 2011, constituting 600 000 words, was conducted using the online programme Wordle ( ). They often fail to group words that have the same or similar meaning, 1 for example, ‘GP’ and ‘GPs’ or ‘Research’ and ‘research.’ As they tend to focus only on single word frequency, they also do not identify phrases, reducing context. Word clouds should be interpreted with certain caveats. In the Health Board that I support, word clouds have been applied to analyse the content of Board committee papers to see whether sufficient attention is being given to the core business of the organisation. They have been used in politics, business and education, for example, to visualise the content of political speeches. Word clouds are increasingly being employed as a simple tool to identify the focus of written material. The more commonly the term appears within the text being analysed, the larger the word appears in the image generated. A ‘word cloud’ is a visual representation of word frequency. ![]()
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