Revealing topics and their evolution in biomedical literature using Bio-DTM: a case study of ginseng

• 主要な著者: Qian Chen (著者), Ni Ai (著者), Jie Liao (著者), Xin Shao (著者), Yufeng Liu (著者), Xiaohui Fan (著者)
• フォーマット: 図書
• 出版事項: BMC, 2017-09-01T00:00:00Z.
• 主題: article
• オンライン･アクセス: Connect to this object online.

Abstract Background Valuable scientific results on biomedicine are very rich, but they are widely scattered in the literature. Topic modeling enables researchers to discover themes from an unstructured collection of documents without any prior annotations or labels. In this paper, taking ginseng as...