REPOGEO REPORT · LITE

gaoisbest/NLP-Projects

Default branch master · commit b4ab56dd · scanned 5/29/2026, 8:43:19 PM

GitHub: 571 stars · 151 forks

AI VISIBILITY SCORE

28 /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

2 / 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 gaoisbest/NLP-Projects, 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

Clarify repo's identity as a collection of NLP projects in the description and README

Why:

CURRENT

Description: word2vec, sentence2vec, machine reading comprehension, dialog system, text classification, pretrained language model (i.e., XLNet, BERT, ELMo, GPT), sequence labeling, information retrieval, information extraction (i.e., entity, relation and event extraction), knowledge graph, text generation, network embedding
README H1 intro: # NLP-Projects
Natural Language Processing projects, which includes concepts and scripts about:

COPY-PASTE FIX

Description: A comprehensive collection of practical Natural Language Processing (NLP) projects, including implementations for word2vec, sentence2vec, machine reading comprehension, dialog systems, text classification, pretrained language models (XLNet, BERT, ELMo, GPT), sequence labeling, information retrieval, extraction (entity, relation, event), knowledge graphs, text generation, and network embedding.
README H1 intro: # NLP-Projects
A curated collection of practical Natural Language Processing (NLP) projects, providing runnable implementations and detailed concepts for various tasks including:

mediumlicense#2

Add a LICENSE file to the repository

Why:

COPY-PASTE FIX

Create a `LICENSE` file in the repository root with a suitable open-source license (e.g., MIT, Apache-2.0, GPL-3.0) that aligns with the project's intent for reuse.

mediumhomepage#3

Add a homepage URL to the repository settings

Why:

COPY-PASTE FIX

Add a relevant URL to the repository's homepage field in GitHub settings, such as a project website, documentation, or the GitHub Pages URL for the repo itself.

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 gaoisbest/NLP-Projects

Avg rank

—

Lower is better. #1 = top recommendation.

Share of voice

Of all named tools, what % are you?

Top rival

Hugging Face Transformers

Recommended in 1 of 2 queries

COMPETITOR LEADERBOARD

Hugging Face Transformers · recommended 1×
NLTK · recommended 1×
spaCy · recommended 1×
scikit-learn · recommended 1×
Rasa · recommended 1×

CATEGORY QUERY
What are good project examples for implementing various natural language processing tasks?
you: not recommended
AI recommended (in order):
1. Hugging Face Transformers
2. NLTK
3. spaCy
4. scikit-learn
5. Rasa
6. Flask
7. Django
8. gensim
9. OpenNMT
10. Fairseq
11. BERTopic
AI recommended 11 alternatives but never named gaoisbest/NLP-Projects. This is the gap to close.
Show full AI answer
CATEGORY QUERY
How can I implement sequence labeling or machine reading comprehension using modern techniques?
you: not recommended
AI recommended (in order):
1. Hugging Face Transformers Library (huggingface/transformers)
2. AllenNLP (allenai/allennlp)
3. spaCy (explosion/spaCy)
4. PyTorch (pytorch/pytorch)
5. TensorFlow (tensorflow/tensorflow)
6. Keras (keras-team/keras)
AI recommended 6 alternatives but never named gaoisbest/NLP-Projects. 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 gaoisbest/NLP-Projects?
pass
AI named gaoisbest/NLP-Projects explicitly
AI answers can be confidently wrong. Read for accuracy: does it match your actual tech stack, audience, and differentiator?
If a team adopts gaoisbest/NLP-Projects in production, what risks or prerequisites should they evaluate first?
pass
AI named gaoisbest/NLP-Projects 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 gaoisbest/NLP-Projects solve, and who is the primary audience?
pass
AI did not name gaoisbest/NLP-Projects — 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?

Embed your GEO score

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

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MARKDOWN (README)

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HTML

<a href="https://repogeo.com/en/r/gaoisbest/NLP-Projects"><img src="https://repogeo.com/badge/gaoisbest/NLP-Projects.svg" alt="RepoGEO" /></a>

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gaoisbest/NLP-Projects — 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