RRepoGEO

REPOGEO REPORT · LITE

taishi-i/awesome-japanese-nlp-resources

Default branch main · commit 84ed21ac · scanned 6/4/2026, 8:57:26 PM

GitHub: 972 stars · 44 forks

AI VISIBILITY SCORE
20 /100
Critical
Category recall
0 / 2
Not recommended in any query
Rule findings
2 pass · 0 warn · 0 fail
Objective metadata checks
AI knows your name
0 / 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 taishi-i/awesome-japanese-nlp-resources, 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

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

OVERALL DIRECTION
  • highreadme#1
    Reposition the README's opening to clearly state it's an awesome list and clarify the plugin's role

    Why:

    CURRENT
    A curated list of resources dedicated to Python libraries, llms, dictionaries, and corpora of NLP for Japanese
    COPY-PASTE FIX
    This is an **awesome list** of curated resources dedicated to Python libraries, LLMs, dictionaries, and corpora for Japanese Natural Language Processing (NLP). The `awesome-japanese-nlp-resources` project also includes a Claude Code plugin to search these resources.
  • mediumtopics#2
    Add more descriptive topics to reinforce the 'resource list' nature

    Why:

    CURRENT
    agent-skills, awesome, awesome-list, cc0, japanese, japanese-language, llm, natural-language-processing, nlp, nlp-library
    COPY-PASTE FIX
    agent-skills, awesome, awesome-list, cc0, japanese, japanese-language, llm, natural-language-processing, nlp, nlp-library, nlp-resources, resource-collection, curated-list

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 taishi-i/awesome-japanese-nlp-resources
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
spaCy
Recommended in 2 of 2 queries
COMPETITOR LEADERBOARD
  1. spaCy · recommended 2×
  2. MeCab · recommended 2×
  3. Juman++ · recommended 2×
  4. Sudachi · recommended 2×
  5. Transformers · recommended 2×
  • CATEGORY QUERY
    Where can I find a comprehensive list of tools for Japanese natural language processing?
    you: not recommended
    AI recommended (in order):
    1. spaCy
    2. MeCab
    3. Juman++
    4. Sudachi
    5. Transformers
    6. Gensim
    7. NLTK

    AI recommended 7 alternatives but never named taishi-i/awesome-japanese-nlp-resources. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    What are the best Python libraries and LLMs for Japanese text analysis?
    you: not recommended
    AI recommended (in order):
    1. MeCab
    2. Sudachi
    3. spaCy
    4. spacy-ud-japanese
    5. ginza
    6. Juman++
    7. Transformers
    8. rinna/japanese-gpt-neox-3.6b
    9. CyberAgent/calm2-7b
    10. stabilityai/japanese-stablelm-base-alpha-7b
    11. Google's Gemini
    12. OpenAI's GPT-4 / GPT-3.5

    AI recommended 12 alternatives but never named taishi-i/awesome-japanese-nlp-resources. This is the gap to close.

    Show full AI answer

Objective checks

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

  • Metadata completeness
    pass

  • 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 taishi-i/awesome-japanese-nlp-resources?
    pass
    AI did not name taishi-i/awesome-japanese-nlp-resources — likely talking about a different project

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

  • If a team adopts taishi-i/awesome-japanese-nlp-resources in production, what risks or prerequisites should they evaluate first?
    pass
    AI did not name taishi-i/awesome-japanese-nlp-resources — likely talking about a different project

    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 taishi-i/awesome-japanese-nlp-resources solve, and who is the primary audience?
    pass
    AI did not name taishi-i/awesome-japanese-nlp-resources — likely talking about a different project

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

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taishi-i/awesome-japanese-nlp-resources — 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