RRepoGEO

REPOGEO REPORT · LITE

diasks2/ruby-nlp

Default branch master · commit fbe3b867 · scanned 7/1/2026, 8:58:24 PM

GitHub: 1,285 stars · 105 forks

Scan history for this repo

Score trend below includes all ready runs (older left, newer right; scroll horizontally if needed). The table is collapsed by default—expand for newest-first rows, 10 per page.

Score trend (left → right: older → newer)

2 ready scans. Expand the table below for newest-first rows (10 per page, paginated).

AI VISIBILITY SCORE
30 /100
Critical
Category recall
0 / 2
Not recommended in any query
Rule findings
1 pass · 0 warn · 1 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 diasks2/ruby-nlp, 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
  • hightopics#1
    Add relevant topics to the repository

    Why:

    COPY-PASTE FIX
    ruby, nlp, natural-language-processing, awesome-list, collection, text-analysis, linguistics, machine-learning
  • highlicense#2
    Add a LICENSE file to the repository

    Why:

    COPY-PASTE FIX
    Create a LICENSE file in the repository root with the content of the MIT License.
  • mediumreadme#3
    Strengthen the README's opening statement to emphasize its 'collection' nature

    Why:

    CURRENT
    Ruby Natural Language Processing Resources
A collection of Natural Language Processing (NLP) Ruby libraries, tools and software. Suggestions and contributions are welcome.
    COPY-PASTE FIX
    Ruby Natural Language Processing Resources
This repository is **the definitive, curated collection** of Ruby libraries, tools, and software for Natural Language Processing (NLP). It serves as a central resource for Ruby developers seeking solutions for text analysis, machine learning, and linguistic tasks.

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 diasks2/ruby-nlp
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
louismullie/stanford-core-nlp
Recommended in 1 of 2 queries
COMPETITOR LEADERBOARD
  1. louismullie/stanford-core-nlp · recommended 1×
  2. buruzaemon/natto · recommended 1×
  3. louismullie/treat · recommended 1×
  4. aurelian/ruby-stemmer · recommended 1×
  5. cjheath/treetop · recommended 1×
  • CATEGORY QUERY
    What are the best Ruby libraries for natural language processing tasks?
    you: not recommended
    AI recommended (in order):
    1. stanford-core-nlp (louismullie/stanford-core-nlp)
    2. Natto (buruzaemon/natto)
    3. Treat (louismullie/treat)
    4. Ruby-Stemmer (aurelian/ruby-stemmer)
    5. Treetop (cjheath/treetop)
    6. fast_stemmer (aurelian/fast_stemmer)
    7. classifier-reborn (jekyll/classifier-reborn)

    AI recommended 7 alternatives but never named diasks2/ruby-nlp. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    Where can I find a comprehensive list of Ruby tools for text analysis and NLP?
    you: not recommended
    AI recommended (in order):
    1. Awesome Ruby List
    2. stanford-core-nlp
    3. pragmatic_segmenter
    4. tokenizer
    5. fast_stemmer
    6. treat
    7. n_gram
    8. text
    9. Ruby Toolbox
    10. classifier-reborn
    11. lingua
    12. rwordnet
    13. GitHub Search
    14. Blogs and Tutorials

    AI recommended 14 alternatives but never named diasks2/ruby-nlp. This is the gap to close.

    Show full AI answer

Objective checks

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

  • Metadata completeness
    fail

    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 diasks2/ruby-nlp?
    pass
    AI named diasks2/ruby-nlp explicitly

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

  • If a team adopts diasks2/ruby-nlp in production, what risks or prerequisites should they evaluate first?
    pass
    AI named diasks2/ruby-nlp 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 diasks2/ruby-nlp solve, and who is the primary audience?
    pass
    AI named diasks2/ruby-nlp 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 diasks2/ruby-nlp. 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/diasks2/ruby-nlp.svg)](https://repogeo.com/en/r/diasks2/ruby-nlp)
HTML
<a href="https://repogeo.com/en/r/diasks2/ruby-nlp"><img src="https://repogeo.com/badge/diasks2/ruby-nlp.svg" alt="RepoGEO" /></a>
Pro

Subscribe to Pro for deep diagnoses

diasks2/ruby-nlp — 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