RRepoGEO

REPOGEO REPORT · LITE

FudanNLP/fastHan

Default branch master · commit 0a038cc0 · scanned 6/9/2026, 6:32:54 AM

GitHub: 762 stars · 88 forks

AI VISIBILITY SCORE
35 /100
Critical
Category recall
0 / 2
Not recommended in any query
Rule findings
1 pass · 1 warn · 0 fail
Objective metadata checks
AI knows your name
3 / 3
Direct prompts that named your repo
HOW TO READ THIS REPORT

Action plan is what to do next — copy-pasteable changes prioritized by impact. Category visibility is the real GEO test: when a user asks an AI a brand-free question that should surface FudanNLP/fastHan, does the AI actually recommend you — or your competitors? Objective checks verify the metadata signals AI engines weight first. Self-mention check detects whether AI even knows you exist by name.

Action plan — copy-paste fixes

3 prioritized changes generated by gemini-2.5-flash. Mark items done after you ship the fix.

OVERALL DIRECTION
  • highreadme#1
    Reposition README introduction to the top

    Why:

    CURRENT
    The README currently starts with: "**致歉：fastHan的模型因为服务器故障导致参数丢失，暂时停止服务。我们将尽快开始下一版迭代，敬请期待。同时，如果有已经下载或保存参数的朋友，恳请您与我们联系，万分感谢。**" followed by "## 简介".
    COPY-PASTE FIX
    Move the entire "## 简介" section to appear before the apology notice. The new README should start with "## 简介" followed by its content, then the apology.
  • highabout#2
    Enhance 'About' description with key terms

    Why:

    CURRENT
    fastHan是基于fastNLP与pytorch实现的中文自然语言处理工具，像spacy一样调用方便。
    COPY-PASTE FIX
    fastHan: 基于BERT的中文多任务NLP工具包，提供分词、词性标注、依存分析、命名实体识别等功能，支持现代与古汉语，调用便捷如spaCy。
  • mediumhomepage#3
    Add a homepage URL to the repository metadata

    Why:

    COPY-PASTE FIX
    https://github.com/FudanNLP/fastHan

Category GEO backends resolved for this scan: google/gemini-2.5-flash, deepseek/deepseek-v4-flash

Category visibility — the real GEO test

Brand-free queries asked to google/gemini-2.5-flash. Did AI recommend you, or someone else?

Same questions for every model — switch tabs to compare answers and rankings.

Recall
0 / 2
0% of queries surface FudanNLP/fastHan
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
explosion/spaCy
Recommended in 1 of 2 queries
COMPETITOR LEADERBOARD
  1. explosion/spaCy · recommended 1×
  2. fxsjy/jieba · recommended 1×
  3. hankcs/HanLP · recommended 1×
  4. thunlp/THULAC · recommended 1×
  5. baidu/LAC · recommended 1×
  • CATEGORY QUERY
    Looking for a Python library for comprehensive Chinese NLP tasks like segmentation and NER.
    you: not recommended
    AI recommended (in order):
    1. spaCy (explosion/spaCy)
    2. Jieba (fxsjy/jieba)
    3. HanLP (hankcs/HanLP)
    4. THULAC (thunlp/THULAC)
    5. LAC (baidu/LAC)

    AI recommended 5 alternatives but never named FudanNLP/fastHan. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    What are good BERT-based toolkits for modern and ancient Chinese NLP, similar to spaCy?
    you: not recommended
    AI recommended (in order):
    1. HanLP
    2. OpenCLaCS
    3. FudanNLP
    4. Transformers (Hugging Face)
    5. Jieba

    AI recommended 5 alternatives but never named FudanNLP/fastHan. This is the gap to close.

    Show full AI answer

Objective checks

Rule-based audits of metadata signals AI engines weight most.

  • Metadata completeness
    warn

    Suggestion:

  • README presence
    pass

Self-mention check

Does AI even know your repo exists when asked about it directly?

  • Compared to common alternatives in this category, what is the core differentiator of FudanNLP/fastHan?
    pass
    AI named FudanNLP/fastHan explicitly

    AI answers can be confidently wrong. Read for accuracy: does it match your actual tech stack, audience, and differentiator?

  • If a team adopts FudanNLP/fastHan in production, what risks or prerequisites should they evaluate first?
    pass
    AI named FudanNLP/fastHan explicitly

    AI answers can be confidently wrong. Read for accuracy: does it match your actual tech stack, audience, and differentiator?

  • In one sentence, what problem does the repo FudanNLP/fastHan solve, and who is the primary audience?
    pass
    AI named FudanNLP/fastHan explicitly

    AI answers can be confidently wrong. Read for accuracy: does it match your actual tech stack, audience, and differentiator?

Embed your GEO score

Drop this badge into the README of FudanNLP/fastHan. It auto-updates whenever the report is rescanned and links back to the latest report — easy public proof that you care about AI discoverability.

RepoGEO badge previewLive preview
MARKDOWN (README)
[![RepoGEO](https://repogeo.com/badge/FudanNLP/fastHan.svg)](https://repogeo.com/en/r/FudanNLP/fastHan)
HTML
<a href="https://repogeo.com/en/r/FudanNLP/fastHan"><img src="https://repogeo.com/badge/FudanNLP/fastHan.svg" alt="RepoGEO" /></a>
Pro

Subscribe to Pro for deep diagnoses

FudanNLP/fastHan — Lite scans stay free; this card itemizes Pro deep limits vs Lite.

  • Deep reports10 / month
  • Brand-free category queries5 vs 2 in Lite
  • Prioritized action items8 vs 3 in Lite