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- URN to cite this document:
- urn:nbn:de:bvb:355-epub-460399
- DOI to cite this document:
- 10.5283/epub.46039
Abstract
Currently, topic modelling is an effective analytical tool for the automated investigation of text data. However, identifying the underlying topics is still a challenging task that is dependent on the selection of the proper technique. Moreover, due to the considerable number of topic modelling techniques reported in the literature, uncertainty about the application of the techniques arises for ...
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