REPOGEO REPORT · LITE

louisowen6/NLP_bahasa_resources

Default branch master · commit cdf12787 · scanned 6/3/2026, 8:17:38 PM

GitHub: 572 stars · 144 forks

AI VISIBILITY SCORE

22 /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

1 / 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 louisowen6/NLP_bahasa_resources, 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 to emphasize 'curated list' nature

Why:

CURRENT

This repository provides link to useful dataset and another resources for NLP in Bahasa Indonesia.

COPY-PASTE FIX

This repository is a curated list of useful datasets, libraries, and other resources for Natural Language Processing (NLP) in Bahasa Indonesia.

mediumtopics#2

Add `awesome-list` to repository topics

Why:

CURRENT

bahasa-indonesia, corpus, corpus-linguistics, dataset, indonesian, indonesian-language, library, natural-language-processing, nlp, nlp-bahasa-resources, packages, sentiment-analysis, sentiment-analysis-dataset

COPY-PASTE FIX

bahasa-indonesia, corpus, corpus-linguistics, dataset, indonesian, indonesian-language, library, natural-language-processing, nlp, nlp-bahasa-resources, packages, sentiment-analysis, sentiment-analysis-dataset, awesome-list

lowhomepage#3
Add repository URL as homepage
Why:
COPY-PASTE FIX
```
https://github.com/louisowen6/NLP_bahasa_resources
```

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 louisowen6/NLP_bahasa_resources

Avg rank

—

Lower is better. #1 = top recommendation.

Share of voice

Of all named tools, what % are you?

Top rival

indobenchmark/indonlp

Recommended in 1 of 2 queries

COMPETITOR LEADERBOARD

indobenchmark/indonlp · recommended 1×
huggingface/datasets · recommended 1×
huggingface/transformers · recommended 1×
indobenchmark/indonlu · recommended 1×
Google's Universal Dependencies (UD) Project · recommended 1×

CATEGORY QUERY
Where can I find comprehensive datasets and libraries for natural language processing in Indonesian?
you: not recommended
AI recommended (in order):
1. IndoNLP Library (indobenchmark/indonlp)
2. Hugging Face Datasets (huggingface/datasets)
3. Hugging Face Transformers (huggingface/transformers)
4. IndoNLU Benchmark (indobenchmark/indonlu)
5. Google's Universal Dependencies (UD) Project
6. NLTK (Natural Language Toolkit) (nltk/nltk)
7. Kaggle
AI recommended 7 alternatives but never named louisowen6/NLP_bahasa_resources. This is the gap to close.
Show full AI answer
CATEGORY QUERY
What are the best resources for Indonesian sentiment analysis datasets and lexical dictionaries?
you: not recommended
AI recommended (in order):
1. Indonesian Social Media Sentiment Dataset (Larasati et al., 2020)
2. Kamus Alay (Alay Dictionary)
3. IndoLEM (Indonesian Lexicon for Emotion and Mood)
4. ID-Senti-Lexicon (Indonesian Sentiment Lexicon)
5. Twitter Sentiment Analysis Dataset (e.g., from Luthfi et al. or other researchers)
6. WordNet Bahasa (Indonesian WordNet)
AI recommended 6 alternatives but never named louisowen6/NLP_bahasa_resources. 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 louisowen6/NLP_bahasa_resources?
pass
AI did not name louisowen6/NLP_bahasa_resources — 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 louisowen6/NLP_bahasa_resources in production, what risks or prerequisites should they evaluate first?
pass
AI named louisowen6/NLP_bahasa_resources 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 louisowen6/NLP_bahasa_resources solve, and who is the primary audience?
pass
AI did not name louisowen6/NLP_bahasa_resources — 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 louisowen6/NLP_bahasa_resources. It auto-updates whenever the report is rescanned and links back to the latest report — easy public proof that you care about AI discoverability.

Live preview

MARKDOWN (README)

[![RepoGEO](https://repogeo.com/badge/louisowen6/NLP_bahasa_resources.svg)](https://repogeo.com/en/r/louisowen6/NLP_bahasa_resources)

HTML

<a href="https://repogeo.com/en/r/louisowen6/NLP_bahasa_resources"><img src="https://repogeo.com/badge/louisowen6/NLP_bahasa_resources.svg" alt="RepoGEO" /></a>

Pro

Subscribe to Pro for deep diagnoses

louisowen6/NLP_bahasa_resources — 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