RRepoGEO

REPOGEO REPORT · LITE

brightmart/text_classification

Default branch master · commit 091ff991 · scanned 5/14/2026, 9:28:01 PM

GitHub: 7,939 stars · 2,539 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 brightmart/text_classification, 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 the README's opening paragraph to clarify its role as a model collection

    Why:

    CURRENT
    Text Classification
The purpose of this repository is to explore text classification methods in NLP with deep learning.
    COPY-PASTE FIX
    Text Classification: A Comprehensive Collection of Deep Learning Model Implementations
This repository provides a practical codebase for various deep learning models applied to text classification tasks in NLP, primarily implemented with TensorFlow 1.x. It includes classic and advanced architectures for multi-class and multi-label classification.
  • mediumtopics#2
    Add 'tensorflow-1x' to the repository topics

    Why:

    CURRENT
    attention-mechanism, classification, convolutional-neural-networks, fasttext, memory-networks, multi-class, multi-label, nlp, sentence-classification, tensorflow, text-classification, textcnn, textrnn
    COPY-PASTE FIX
    attention-mechanism, classification, convolutional-neural-networks, fasttext, memory-networks, multi-class, multi-label, nlp, sentence-classification, tensorflow, tensorflow-1x, text-classification, textcnn, textrnn
  • lowhomepage#3
    Add the repository URL as the homepage

    Why:

    COPY-PASTE FIX
    https://github.com/brightmart/text_classification

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 brightmart/text_classification
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
huggingface/transformers
Recommended in 1 of 2 queries
COMPETITOR LEADERBOARD
  1. huggingface/transformers · recommended 1×
  2. Lightning-AI/lightning · recommended 1×
  3. keras-team/keras · recommended 1×
  4. facebookresearch/fastText · recommended 1×
  5. explosion/spaCy · recommended 1×
  • CATEGORY QUERY
    How to implement various deep learning models for text classification tasks in NLP?
    you: not recommended
    Show full AI answer
  • CATEGORY QUERY
    Looking for deep learning frameworks to perform multi-label or multi-class text classification.
    you: not recommended
    AI recommended (in order):
    1. Hugging Face Transformers (huggingface/transformers)
    2. PyTorch Lightning (Lightning-AI/lightning)
    3. Keras (keras-team/keras)
    4. FastText (facebookresearch/fastText)
    5. spaCy (explosion/spaCy)

    AI recommended 5 alternatives but never named brightmart/text_classification. 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 brightmart/text_classification?
    pass
    AI named brightmart/text_classification explicitly

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

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

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

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brightmart/text_classification — 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