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Company policy · Korean beta and formal editions
VibeStat-Text — Korean beta/formal distribution and English trial
Under company policy, the Korean edition is distributed separately as a free beta and a paid formal edition.
Activation code 202606 is entered on the app’s first-run product activation screen. It is not an external AI API key. The Korean beta package includes the installer, textbook, and guides; the instructor textbook is not included. Formal-edition and instructor-textbook applications are accepted by phone only.
바이브스타틱스 · 바이브통계
VibeStat-Text
Beyond Vibe Coding — Vibe R text mining for research, practice & institutions
Quantitative & text analysis for papers, policy reports, surveys, interviews, and document corpora
Big Data · Text Mining · Statistical Analysis
Built-in R engine — run word frequency, word clouds, and LDA with buttons, not scripts
Made in Korea · Korean UI ready
English UI ready · footer KO/EN
Vibe-Talk · Vibe-Loom
Voice input · in development
- Designed by Ed.D. scholar
- Built-in R
- Internet for first install
- Built-in textbook · Help
- ▶ RISS · demo
- English download
- Korean beta download
Built-in R · runs locally on your PC
Demo
Product demo · corpus prep · thesis tips (YouTube)
Sample data → word frequency · word cloud · LDA · real app workflow.
The YouTube videos below were planned, filmed, and edited by the author (not re-uploads from other channels).
① VibeStat-Text product demo
② Collect papers on RISS (Korea)
Search research-trend papers in your field on RISS (Korean academic database) by keyword. Build a text-mining corpus, then analyze it in VibeStat-Text.
RISS — collect research-trend papersCollect sources → download the trial → analyze here.
③ Reference list ordering
Practical tips for sorting reference lists before thesis or journal submission.
Reference list ordering④ Thesis table of contents
How to build a table of contents for papers and reports — separate from the reference-list video.
Table of contents guide⑤ Classic R · text mining (self-produced)
Intro and lab videos from the older RStudio + KoNLP workflow (Korean narration). Today VibeStat-Text runs morphology, word clouds, and LDA with buttons — no script editing required.
Classic RStudio word cloud Classic RStudio topic modeling (LDA) Classic KoNLP install guideWatch on YouTube. Collect papers and abstracts on RISS, then import PDF or TXT for analysis. Reference list, table of contents, RStudio, and KoNLP legacy videos are included for context. These are original uploads by the author, not third-party re-posts. For licenses or programs: contact · workshops & lectures.
Guide
At a glance
New here? Skim this section first. VibeStat-Text by VibeStatics is Windows R text mining software. Load interview, survey, report, paper, news, or policy text — then run frequency, word clouds, LDA, and document comparison with buttons, not scripts. Not only graduate students: also for institutions, practitioners, and classrooms. Designed by an Ed.D. from dissertation and graduate text-mining supervision to lower R entry barriers. It is not a proprietary stats engine — analysis runs on built-in R. See R · trust.
Who it is for
- Researchers & graduate students — theses, dissertations, journal submissions
- Faculty — research methods, text mining, mixed-methods labs
- Public & private institutes — policy, evaluation, project reports, survey & interview data
- Practice & consulting — client feedback, reviews, proposals, meeting notes
- Content, media & UX — articles, posts, user feedback — topics, frequency, comparison
- Anyone who needs reproducible document analysis without heavy R/Python scripting
What you do (in short)
- Load data — PDF · Excel · CSV · TXT · merge PDFs
- Button analysis (local R) — morphology · frequency · TF-IDF · word cloud · LDA · doc compare
- Dictionary & preprocess — stopwords, synonyms, phrases · outputs in
.vibestat/output/ - Optional AI (BYOK) — Vibe-Talk · Vibe-Loom · connect Upstage Solar (chat) in app API settings · mic voice in development
- Built-in tutorial · F1 Help — start in about five minutes
Vibe-Talk and Vibe-Loom are optional. In the app API settings, connect an Upstage Solar key (chat). Mic voice input is under development (OpenAI Whisper planned). For errors · how-to · reviews, join the open chat — free lectures for members are being prepared. Core text mining runs offline with built-in R — no API key required.
For formal licenses or programs: Contact · Details: Learn more · YouTube demo · R · trust · Design story: Why we built it · Names & FAQ: Q&A · Background: Text mining & R primer
Button analysis
Word cloud · LDA · frequency
Compare docs
Group TF-IDF · networks
Textbook included
Quick start tutorial · F1 Help
Field · Education
Research & education in the field
Built by an Ed.D. from dissertation work and graduate text-mining supervision. Shared first with supervised students for real papers and assignments — feedback: corpus prep through frequency, word clouds, LDA, networks, and writing works in practice.
In use
Faculty and graduate researchers at Namseoul University, among others, use it for papers, coursework, and research corpora — built-in R and button workflows without a separate RStudio setup.
A researcher who had given up years ago on a word co-occurrence network (elderly mortality–related analysis — too heavy in code) tried again with VibeStat-Text and said “I didn’t expect it could work like this.” Network analysis is still demanding; here it connects corpus, preprocessing, and visualization in one flow.
Namseoul University researcher · used with permission · no department or name listed
Text-mining paper workshop
Corpus · preprocess · frequency · LDA · networks · interpretation · Methods/Results drafting. 2-day intensive or 5-day paper pace — departments, institutes, training formats.
Public lecture
Introduction · VibeStat-Text demo · five-minute lab. Accessible for first-time text-mining researchers and classrooms.
Paper design · analysis advisory
1:1 or small groups. Corpus design, analysis flow, interpretation. Scope and schedule by inquiry.
Program inquiry 010-3105-6999 · Open chat · errors · reviews
Notice
VibeStat-Text distribution — Korean beta/formal and English trial
Company distribution policy · valid until September 30, 2026
The Korean edition is distributed separately as a free beta and a paid formal edition. The English trial remains available for individual researchers.
| Item | Korean beta | Korean formal |
|---|---|---|
| Price | Free | KRW 90,000 |
| Users | Individual research trial | Two users |
| Valid through | September 30, 2026 | September 30, 2026 |
| Features | TF-IDF · LDA K-scan · Vibe-Loom locked · Vibe-Talk available | All features |
| Delivery | Google Drive download Installer, textbook, and guides included (instructor textbook excluded) | Provided after phone application |
| First run | Activation code 202606 | Usage information provided to applicants |
Instructor textbook: a lecturer edition is planned for instructors who apply. Apply for the formal edition or instructor textbook by phone at +82-10-3105-6999.
VibeStat-Text-EN 0.7.7.EN_NEW is the English trial build from VibeStatics for individual researchers. All text-mining and AI (BYOK) features are included until expiry. Do not redistribute this build without permission.
Download English trial (Google Drive) Download Korean beta (Google Drive) Apply for Korean formal edition · +82-10-3105-6999 Request instructor textbook Open chat · errors · how-to · reviews
⚠ Install caution
If R for Windows is already on your PC, it may conflict with VibeStat-Text’s bundled R and cause errors.
Before your first install, uninstall R from Settings → Apps → Installed apps, then install VibeStat-Text.
(Posit/RStudio alone without a separate R install is usually fine.)
On first launch, the app automatically downloads and installs R and required packages from the internet.
You do not install R separately, but the first run may take several minutes. Keep the app open and watch LIVE LOG.
If errors persist after install, uninstall VibeStat-Text and R completely, then
install again from scratch.
(Routine updates or second installs are usually unaffected.)
Before running Setup/exe — right-click Properties → Security → Edit →
select your user account → under Allow, check Full control · Modify · Read & execute · Read · Write,
then OK · Apply.
Your PC is fine — SmartScreen, unblock, and security prompts are normal Windows steps on
first install of files downloaded from the internet.
For the Korean formal edition, apply by phone at +82-10-3105-6999. For workshops · lectures · advisory, see programs or contact. For install or analysis questions, use the open chat for errors · how-to · reviews. Free lectures for chat members are being prepared.
Apply for formal edition · +82-10-3105-6999010-3105-6999 · hyc6999@gmail.com · Open chat · errors · reviews
Contact
Individual · institution · lecture
Reference
Background · text mining theory · R history
What is text mining? — concepts, principles, workflow
Text mining (text analytics) extracts patterns, topics, and frequencies from unstructured text — papers, reports, news, interviews, survey responses. It draws on statistics, information retrieval, NLP, and machine learning. (Wikipedia · Text mining)
A typical research workflow:
- Research question & corpus design — documents, periods, groups
- Collection & cleaning — PDF · Excel · CSV · TXT, encoding, metadata
- Preprocessing & tokenization — stopwords, morphology (Korean), dictionaries
- Exploration — word/document frequency, TF-IDF, word clouds
- Modeling & comparison — LDA topics, log-odds, networks
- Interpretation & reporting — tables, figures, reproducible settings
VibeStat-Text connects steps 2–5 with buttons and built-in R. Contact →
Word frequency · TF-IDF · word clouds — a short primer
Word frequency counts how often terms appear in a corpus; results depend on preprocessing.
TF-IDF highlights terms distinctive to a document by combining term frequency (TF) with inverse document frequency (IDF). (Wikipedia · TF-IDF)
Word clouds visualize weighted terms as font sizes — useful as supplementary figures alongside frequency tables and context. VibeStat-Text uses R packages such as wordcloud2.
LDA · topic modeling — concepts and references
LDA (Latent Dirichlet Allocation) assumes each document is a mixture of latent topics, each topic a distribution over words. (Wikipedia · LDA)
Key paper: Blei, Ng & Jordan (2003), Latent Dirichlet Allocation, JMLR. (JMLR PDF)
VibeStat-Text runs LDA locally via CRAN topicmodels and related packages. Choosing K and interpreting topics remain researcher decisions.
R programming language — history and context
R was created in the 1990s by Ross Ihaka and Robert Gentleman at the University of Auckland for statistical computing and graphics. First public release 1995; The R Foundation founded 2000. (The R Project · About · Wikipedia · R)
R extends through packages on CRAN. Text mining often uses tm, tidytext, quanteda, topicmodels, wordcloud2, ggplot2. VibeStat-Text bundles these in a built-in R engine for button-driven workflows on Windows.
R logo © The R Foundation. VibeStat-Text is an independent product, not an official R application.
R entry barriers — why it feels hard, and alternatives
Researchers new to R often face:
- Environment setup — R, IDE (Posit), package dependencies
- Scripting — syntax, data structures, error messages
- Reproducibility — preprocessing, seeds, package versions
- Korean preprocessing — morphological analyzers and dictionaries
VibeStatics built VibeStat-Text for people who want R-based text mining but were blocked by coding and setup — built-in R, buttons, dictionaries, and tutorials. Core computation still uses standard R packages. R · trust →
As an RStudio alternative focused on document corpora, it targets thesis work, policy reports, surveys, and interviews — not general-purpose data science alone.
References · official links · Wikipedia
Links below are official or academic sources (verified 2026). Confirm originals when citing methods.
-
R · official
The R Project · The R Foundation · CRAN -
R · Wikipedia
R (programming language) -
Text mining
Wikipedia · Text mining -
Information retrieval
Manning, Raghavan & Schütze, Introduction to Information Retrieval (Stanford IR Book) -
LDA · paper
Blei, D. M., Ng, A. Y., & Jordan, M. I. (2003). Latent Dirichlet Allocation. JMLR, 3, 993–1022. (PDF) -
R packages · CRAN
tidytext · quanteda · tm · topicmodels · wordcloud2 · ggplot2 -
Korean morphology
Kiwi (bab2min/Kiwi · GitHub) -
VibeStatics · product
vibestatics.com/en · YouTube demo · Contact
FAQ
Frequently asked questions
Search topics
vibestatics.com is the official site for VibeStatics (바이브스타틱스 · 바이브통계).
- VibeStatics · Vibe Statistics · 바이브통계 — Korean R text mining brand
- Text mining · text analytics — concepts primer →
- R programming · R language — history R background →
- Statistical analysis · document analysis — corpus workflows
- R text mining · RStudio alternative — Windows · built-in R · buttons
- R packages — tidytext, quanteda, tm, ggplot2, topicmodels, wordcloud2
- Word cloud · make a word cloud — VibeStat-Text (local R)
- LDA · topic modeling · TF-IDF — button-driven analysis
- Korean morphology · Kiwi — elbird/Kiwi in VibeStat-Text
- Thesis · dissertation · research — papers, policy, surveys, interviews
- R without coding · before learning R — lower barriers guide →
What is VibeStatics?
VibeStatics is a Korean software brand for R-based text mining and statistics on Windows. VibeStat-Text is the flagship product: button-driven analysis with a built-in R engine. Also known in Korean as 바이브스타틱스 and 바이브통계 (Vibe Statistics).
Who designed VibeStat-Text and why?
An Ed.D. scholar designed it from a dissertation and graduate text-mining supervision experience. High R entry barriers — experienced firsthand and seen repeatedly in supervision — led to built-in R, buttons, and textbooks so researchers can focus on corpus, questions, and interpretation.
What are Vibe-Talk and Vibe-Loom?
Vibe-Talk — conversational analysis assistant. Vibe-Loom — paper/report drafting support. Mic voice (in development) — OpenAI Whisper dictation is being prepared. Optional AI (your keys); core mining runs offline with built-in R.
Is VibeStatics the same as Vibe Coding or Naver VIBE?
No. Vibe Coding means generating R/Python scripts with AI. Naver VIBE is a music service. VibeStatics is independent desktop research software for corpus-based text mining.
Is it “Five Statics” (the number 5)?
No. The name is Vibe + Statistics → Vibe Statics, matching the domain vibestatics.com.
What is VibeStat-Text?
Windows text mining for research, institutions, practice, and teaching. PDF · Excel · CSV · TXT → frequency · word clouds · LDA · TF-IDF · document comparison. Built-in R runs locally; an independent product, not an official R app. R · trust →
Is it the same as running R directly?
Core analysis runs via R (Rscript) with tidytext · quanteda · topicmodels and similar packages. Buttons are the UI; you can view R code and console output. Same packages, preprocessing, and settings → same R computation path as RStudio scripts.
Numbers may differ if package versions, dictionaries, or LDA seeds differ. For Methods sections, record the actual packages and analyzer shown in LIVE LOG or console.
Is the English UI available?
Yes. Toggle EN in the app footer for English labels, F1 Help, and the Step guide · Greenfield rail. Korean and English share the same R engine and sample corpora.
Do I need to code in R?
Core workflows use buttons — no tm/ggplot scripts required for frequency, word clouds, LDA, or document comparison. The R engine runs locally inside the app. Advanced users can still view R code and console.
Do I need an API key?
No for core text mining — runs offline with built-in R. Optional Vibe-Talk · Vibe-Loom use your Upstage Solar (chat) key in app API settings. Mic voice (OpenAI Whisper) is in development. See Learn more → Voice input · API setup.
Can I use VibeStat-Text without RStudio?
Yes. Run R text mining and statistical analysis on Windows via buttons without installing RStudio separately. The app includes an R engine and packages such as tidytext · quanteda · ggplot2 · topicmodels on your PC. R · trust →
Which R packages are used?
Standard academic packages: tm · tidytext · quanteda · topicmodels · wordcloud2 · ggplot2. Computation runs via Rscript; LIVE LOG and console show what was used.
How do I use the Korean beta or apply for the formal edition?
Download the Korean beta free and enter activation code 202606 on first run. The package includes the installer, textbook, and guides; the instructor textbook is excluded. The Korean formal edition costs KRW 90,000, is valid until September 30, 2026, and supports two users. Apply by phone at +82-10-3105-6999. Instructor textbooks are planned for lecturers who apply through the same number.
Where do I ask about errors, how-to, or share reviews?
Use the Kakao open chat (text mining lab) for error reports and how-to questions, and to share usage reviews and tips. Free lectures for open-chat members are being prepared; we will announce first in the chat.
Is it for statistical and text analysis?
Yes. For papers, policy reports, surveys, interviews, and document corpora — frequency, word clouds, LDA topics, TF-IDF, document comparison. For researchers, graduate students, faculty, institutions, and professionals.
What is text mining?
Text mining quantifies patterns and topics in documents, articles, interviews, and surveys. Workflows often move from frequency → TF-IDF → word clouds → LDA → document comparison. Full primer →
Can I start before learning R programming?
Partially yes. VibeStat-Text runs frequency, word clouds, and LDA via buttons while using standard R packages under the hood. You can view R code and console output. Deeper methodology still benefits from statistics and R literacy. R history & barriers →
Can I make word clouds and LDA without coding?
Yes. Load PDF · Excel · CSV · TXT, then run morphology (Korean) → frequency → word cloud · LDA with buttons. Computation runs in built-in R on your PC. YouTube demo → · Contact →
Is it for papers, interviews, and survey text?
Yes. Theses, journal articles, policy reports, interview transcripts, and open-ended survey responses — compare groups, extract LDA topics, and run TF-IDF on document corpora.
바이브스타틱스란? (한국어)
바이브스타틱스(VibeStatics)는 한국에서 개발한 R 텍스트마이닝 소프트웨어 브랜드입니다. 한국어 페이지 →