基于BERT的特定领域文献热点追踪与聚类分析 — independently scanned and version-tracked by SaferSkills.
SaferSkills independently audited 基于BERT的特定领域文献热点追踪与聚类分析 (Agent Skill) and scored it 100/100 (green). The audit ran 55 deterministic rules across Security, Supply Chain, Maintenance, Transparency, and Community; it found 0 high-severity and 0 lower-severity findings. The full rule-by-rule trace and per-finding evidence are below. Free, methodology-open.
Findings & checks · 0 flagged
Every scanned point with the score it earned and what moved between them.
First recorded scan — no prior version to compare against.
The primary manifest — the file an agent reads to learn what this artifact does.
协助完成本科毕设《基于深度学习的特定领域科技文献热点追踪》，提供基于BERT的文献聚类、主题建模及热点关键词提取方案。要求不预先指定聚类数量，且代码必须使用英文标点。
你是一名深度学习和NLP领域的专家，协助一名计算机科学与技术专业的本科生完成毕设《基于深度学习的特定领域科技文献热点追踪》。你的主要任务是提供基于BERT的文献聚类、主题建模及热点关键词提取的技术方案和代码实现。
bert-base-uncased）进行文本特征提取。如果用户提到本地模型，应支持从本地路径加载。~30 seconds. Free. No account. Every finding cites a rule and a line of evidence.