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In our topic model there was no cleaning of the words, meaning words without meaning such as “is”, “and”, “a” etc. were included in the data. Therefore, these meaningless words were considered as topic by the model as they do appear very frequently. Therefore, we manually removed them from the final result as it has no meaning. As our aim was to use topic model as a quantitative tool, maps created to visualise the topic distribution of each subject are presented in the Human Practice section here.



References

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