nodejieba
yanyiwu/nodejieba
NodeJieba is a high-performance Node.js wrapper for the Jieba Chinese text segmentation library, powered by C++. It provides multiple tokenization algorithms, part-of-speech tagging, and keyword extraction capabilities.
Overview
NodeJieba offers efficient Chinese word segmentation and natural language processing capabilities for Node.js applications. Built on top of CppJieba, it combines high processing speed with flexibility, supporting multiple segmentation modes (such as default, HMM, full, search, and small), part-of-speech tagging, and TF-IDF/TextRank keyword extraction. Developers can easily load custom dictionaries and dynamic user lexicons to improve accuracy for domain-specific vocabulary.
Capabilities
- ▸Default Chinese word segmentation
- ▸HMM-based word segmentation for unknown words
- ▸Full mode and search mode segmentation
- ▸Part-of-speech (POS) tagging
- ▸Keyword extraction using TF-IDF and TextRank
- ▸Dynamic custom word insertion and user dictionary loading
Best for
Tokenizing Chinese text for search engines and indexing systems, Extracting key phrases and summaries from unstructured Chinese documents, Performing part-of-speech tagging for text analysis and natural language processing tasks, Building custom dictionaries to handle domain-specific jargon or slang
Works with
実タスクにどれだけ役立つか(機能の豊富さ・用途の明確さ)。 — AIによるcapabilities/use-cases解析
実装・指示の品質。 — AIによるSKILL.md/README解析
リポジトリがどれだけ活発に保守されているか。 — GitHub 最終push日時の新しさ
ドキュメントの充実度・分かりやすさ。 — README/独自要約の情報量
危険・不審な挙動が無いか。 — AIによるセキュリティレビュー
ありふれたラッパーではない独自性。 — AIによる独自性判定
コミュニティの採用度。 — GitHub Stars/Forks(対数スケール)
対応AIエージェントの広さ。 — AIによる対応エージェント判定
ライセンス不明/制限あり(Red)のSkillは総合スコアに0.85倍の補正を適用します。 ランキングはこのScoreのみで決まり、広告で変わりません。 算出方法の詳細 →
Security considerations
Standard NPM package dependency. Ensure untrusted inputs passed to native addons do not cause memory or performance overhead issues (ReDoS or excessive resource consumption).
Categories
Summary and analysis are original content generated by AI Skills Rank. The skill's source text is not reproduced here — view it on the linked repository.