Research Article
Topic Analysis and Mapping of Tuberculosis Research Using Text Mining and Co-Word Analysis
Table 1
Topics obtained from topic modeling of scientific articles on tuberculosis.
| Name (rate/percentage) | Word cloud |
| Diagnosis and treatment (44788/28.1%) | | Bacterial structure, pathogenicity, and genetics (35524/22.3%) | | Clinical symptoms (66667/41.8%) | | Prevention (12511/7.8%) | |
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