five

Finding Scientific Topics in Continuously Growing Text Corpora

收藏
PsychArchives2022-10-13 更新2026-04-25 收录
下载链接:
https://hdl.handle.net/20.500.12034/7538
下载链接
链接失效反馈
官方服务:
资源简介:
This is a brief presentation of our framework and app (www.psychtopics.org) for continuous topic detection in scientific publications. Using psychology as an example, the presented framework makes use of RollingLDA and has a high degree of automation once the initial model is created. The model integrates new publications while keeping time series of topic trends consistent. This can help various stakeholders like researchers or policy-makers to evaluate how research fields evolve over time. unknown unknown
提供机构:
PsychArchives
创建时间:
2022-10-13
5,000+
优质数据集
54 个
任务类型
进入经典数据集
二维码
社区交流群

面向社区/商业的数据集话题

二维码
科研交流群

面向高校/科研机构的开源数据集话题

数据驱动未来

携手共赢发展

商业合作