RRepoGEO

REPOGEO REPORT · LITE

cjhutto/vaderSentiment

Default branch master · commit 44fc044c · scanned 5/24/2026, 3:46:30 AM

GitHub: 4,999 stars · 1,061 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 cjhutto/vaderSentiment, 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
    sentiment-analysis, natural-language-processing, nlp, social-media, python, lexicon-based, text-analysis, vader
  • highreadme#2
    Explicitly state this is the original VADER implementation in the README

    Why:

    CURRENT
    VADER-Sentiment-Analysis
VADER (Valence Aware Dictionary and sEntiment Reasoner) is a lexicon and rule-based sentiment analysis tool that is *specifically attuned to sentiments expressed in social media*.
    COPY-PASTE FIX
    VADER-Sentiment-Analysis: The Original VADER (Valence Aware Dictionary and sEntiment Reasoner) Python Library
VADER (Valence Aware Dictionary and sEntiment Reasoner) is the widely recognized, open-source lexicon and rule-based sentiment analysis tool that is *specifically attuned to sentiments expressed in social media*.
  • mediumhomepage#3
    Add the repository URL as the homepage

    Why:

    COPY-PASTE FIX
    https://github.com/cjhutto/vaderSentiment

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 cjhutto/vaderSentiment
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
Hugging Face Transformers
Recommended in 2 of 2 queries
COMPETITOR LEADERBOARD
  1. Hugging Face Transformers · recommended 2×
  2. TextBlob · recommended 2×
  3. Flair · recommended 2×
  4. VADER · recommended 1×
  5. spaCy · recommended 1×
  • CATEGORY QUERY
    What's a good library for analyzing sentiment in short social media posts?
    you: not recommended
    AI recommended (in order):
    1. VADER
    2. Hugging Face Transformers
    3. TextBlob
    4. Flair
    5. spaCy
    6. NLTK

    AI recommended 6 alternatives but never named cjhutto/vaderSentiment. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    How can I perform quick sentiment analysis on user-generated text in Python?
    you: not recommended
    AI recommended (in order):
    1. VADER (Valence Aware Dictionary and sEntiment Reasoner) from NLTK
    2. TextBlob
    3. Flair
    4. Hugging Face Transformers
    5. Google Cloud Natural Language API
    6. Amazon Comprehend

    AI recommended 6 alternatives but never named cjhutto/vaderSentiment. 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 cjhutto/vaderSentiment?
    pass
    AI did not name cjhutto/vaderSentiment — 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 cjhutto/vaderSentiment in production, what risks or prerequisites should they evaluate first?
    pass
    AI named cjhutto/vaderSentiment 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 cjhutto/vaderSentiment solve, and who is the primary audience?
    pass
    AI named cjhutto/vaderSentiment explicitly

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

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cjhutto/vaderSentiment — 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