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Medical documents classification using topic modeling
2020
Indonesian Journal of Electrical Engineering and Computer Science
The number of digital medical documents is increasing continuously; several medical websites share a lot of unclassified articles. These articles have very long texts that should be read to determine the topic of each document. The classification of these documents is important so researchers can use these documents easily and the effort and time in reading and searching for a specific topic will be reduced. Therefore, an automatic way to extract latent topics from these text documents is
doi:10.11591/ijeecs.v17.i3.pp1524-1530
fatcat:xzml44lljbf3dmeytnftiaubma