RRepoGEO

REPOGEO REPORT · LITE

smilelight/lightNLP

Default branch master · commit 772c5f6a · scanned 6/5/2026, 10:23:12 PM

GitHub: 833 stars · 209 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 smilelight/lightNLP, 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 H1 and first paragraph to clarify audience and purpose

    Why:

    CURRENT
    # lightNLP, 很基础的自然语言处理框架

## 简介

本项目基于Pytorch和torchtext，旨在提供一个基础的自然语言处理相关任务实现的深度学习框架。

有关详细说明和教程请参阅项目文档：lightnlp-cookbook

## 声明

1. 本项目从定位上来说只是一次收集和尝试，目的并不作为企业级和生产级使用，目标群体主要是对自然语言处理各任务实践感兴趣的其他方向计算机开发人员以及初学者，更主要的是**自娱自乐**。
    COPY-PASTE FIX
    # lightNLP: 基于PyTorch和torchtext的自然语言处理深度学习框架 (面向学习者和实验者)

lightNLP是一个基于PyTorch和torchtext的深度学习框架，旨在为对自然语言处理任务实践感兴趣的开发者和初学者提供一个基础的、易于理解和实验的实现平台。本项目主要用于学习和个人探索，不建议直接用于企业级或生产环境。有关详细说明和教程请参阅项目文档：lightnlp-cookbook
  • mediumhomepage#2
    Add the `lightnlp-cookbook` documentation URL as the repository homepage

    Why:

    COPY-PASTE FIX
    https://lightnlp-cookbook.readthedocs.io/zh_CN/latest/
  • lowabout#3
    Refine the repository description to include its target audience

    Why:

    CURRENT
    基于Pytorch和torchtext的自然语言处理深度学习框架。
    COPY-PASTE FIX
    一个基于PyTorch和torchtext的自然语言处理深度学习框架，专为学习者和实验者设计，提供基础任务实现。

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 smilelight/lightNLP
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. Hugging Face Transformers · recommended 1×
  3. PyTorch-Lightning · recommended 1×
  4. AllenNLP · recommended 1×
  5. fairseq · recommended 1×
  • CATEGORY QUERY
    What are good PyTorch deep learning frameworks for implementing various natural language processing tasks?
    you: not recommended
    AI recommended (in order):
    1. Hugging Face Transformers
    2. PyTorch-Lightning
    3. spaCy
    4. AllenNLP
    5. fairseq

    AI recommended 5 alternatives but never named smilelight/lightNLP. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    Looking for a Python deep learning library to implement Chinese NLP tasks like CWS and POS.
    you: not recommended
    AI recommended (in order):
    1. PyTorch
    2. transformers
    3. BERT
    4. RoBERTa
    5. TensorFlow
    6. Keras API
    7. PaddlePaddle
    8. ERNIE
    9. LAC
    10. ELECTRA
    11. Keras
    12. Theano
    13. CNTK
    14. spaCy

    AI recommended 14 alternatives but never named smilelight/lightNLP. 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 smilelight/lightNLP?
    pass
    AI named smilelight/lightNLP explicitly

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

  • If a team adopts smilelight/lightNLP in production, what risks or prerequisites should they evaluate first?
    pass
    AI named smilelight/lightNLP 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 smilelight/lightNLP solve, and who is the primary audience?
    pass
    AI named smilelight/lightNLP explicitly

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

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smilelight/lightNLP — 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