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[Practical] TEXTOM Practical Lecture: Text Analysis/Text Mining for Big Data Thesis Writing

Instead of explanations focused on fundamental theories about 텍스톰(TEXTOM), we enable you to develop text mining and big data analysis capabilities through practical hands-on exercises.

(4.7) 9 reviews

165 learners

  • leejinkyu0612
textom
실습 중심
빅데이터
논문
Big Data
Text Mining
TEXTOM

Reviews from Early Learners

What you will learn!

  • Big Data Analysis using TEXTOM

  • Practical examples of Big Data analysis

1:1 Coaching Example: Having trouble using Textom? 📊
This course will save you time!

This course is for Textom beginners and novices.

I am teaching the basics .

After previewing

If this is what you want, please take the class!

(Note: Intermediate level lecture)

Are you able to analyze text mining yourself after watching the text mining lectures available on the market?

“I would like to see examples or practical examples of applying the theory to real-world analysis rather than just theory.”

“We need a text mining course that will enable us to write papers on trend analysis, cognitive analysis, and other topics .”

👉 After seeing these reviews, I decided to film the lecture.

Big data analysis, which is a recent trend,


There is no field in business/research where it is not used.

Text mining is becoming an increasingly essential analytical method for research. As it becomes mainstream, many people are eager to learn it.

TextStorm for text mining

TEXTOM is a great program for text mining without coding.
However, many graduate students, researchers, and office workers are wasting time and experiencing stress and burden because they do not know how to actually use Textom even after reading lectures or books.

An instructor with no practical experience and who has never written a paper?
I can't really explain how to do "big data analysis."

We will reveal the core know-how and secrets of completing big data analysis in just half a day using Textom .


Never self-study.
Text mining has a wide variety of analysis techniques.

If you proceed solely based on theory and manuals without knowing how to use frequently used analysis techniques, you will definitely be wasting your time .


After practicing techniques frequently used in practice or big data papers , you should gradually solidify your theoretical foundation so that you can later analyze texts freely.

In other words, you need to know what's important and what's not in text analysis . Knowing this can save you weeks, or even months, of time.

I have accumulated expertise through hundreds of text analysis experiences. This is a uniquely possible story, as I am a Prime expert, a title given to the top 2% of data analysts on the talent sharing platform (Cremon).


For efficient learning and practical application, we recommend starting Textom with this course.

Big data analysis, now do it yourself.
Instead of boring theoretical explanations, we've collected only practical techniques .

The reason why it is difficult to learn text mining is because we only learned the theory without practicing with real-world examples .

You can never analyze something unless you implement it yourself.

To master big data analysis, you need to gain a deep understanding of text mining through hands-on practice using Textom.

We will guide you through extracting the data you need for your research paper.

Through well-defined explanations of core concepts and practical exercises using Textom, we'll guide you to the expert level where you can confidently apply text mining analysis in your work or research papers.


Contains only core techniques that can be applied in practice.

Text mining and big data are increasingly being introduced in all fields of research.

In corporate practice, you also need to be able to handle text data to be recognized.

We've created a Textom lecture focused on practical exercises so that anyone can easily learn the current trends of big data and text mining without complex or difficult coding.

This course is based on accumulated practical know-how, focusing on core text mining techniques used in actual practice, while boldly omitting features that are not used in practice .

  • ✅ Textom data extraction for practical use
  • ✅ How to Use Textom to Write Big Data Papers

🚩 I also went through a lot of trial and error when I first started using Textom.

'How should I use Textom in this situation?' I searched the internet and manuals, but... the Textom explanations and lectures on the market were too theoretical and difficult for a beginner to understand. I remember searching through various menus and struggling for days before finally solving the problem.

When I was a beginner like myself and had difficulty using Textom, I thought, "If only I had someone to guide me, wouldn't it have been easier to analyze big data and write papers? " and "It would be really convenient if there was a lecture that could guide people who are new to Textom or looking for how to use it." With these thoughts in mind, I prepared this lecture.

This course is structured to provide a hands-on demonstration of the data extraction process, rather than a lengthy theoretical explanation of Textom, allowing readers to gain a feel for big data analysis . By following along repeatedly, anyone can utilize big data analysis and text mining techniques without any Python coding experience.


Focused on practical usage
This is a text mining lecture.

This lecture focuses on practical use of Textom for text mining rather than theoretical explanations.

The lectures are structured so that you can perform big data analysis, such as trend analysis and perception analysis, by listening to the lectures and following along.

Overview of examples practiced in class

After briefly explaining the basic theory of text mining, we will directly extract big data using the Textom program.

In this course, you will naturally understand text mining and implement big data analysis methods yourself.

In addition, we directly implement SNS big data analysis, which is a current trend.

If you have a basic understanding of text mining and Textom, briefly skim the manual provided by Textom, and then learn the practical methods in this lecture, you will be able to upgrade your text mining analysis skills very quickly.

I recommend this to these people!

  • Anyone who wants to learn text mining with Textom
  • For those who want to know about practical implementation methods using Textom rather than theoretical explanations
  • Graduate students, researchers, professors, etc. who want to write a paper on recognition analysis and trend analysis using Textom

💾 Please check before taking the class!

  • Securing TEXTOM storage is essential for the course. Before taking the course, create a TEXTOM account and secure at least 10MB of storage with a paid account .
  • We provide students with a PPT on text mining theory.

Hello, this is Jin-gyu Lee.

Knowledge sharer history

  • Currently a Ph.D. candidate at Dongguk University's AI Graduate School (Natural Language Processing major)
  • Natural language processing development at a startup specializing in AI and big data
  • Former public institution big data analysis researcher
  • Dankook University and other universities offer Python data analysis and big data analysis courses.
  • Numerous private tutoring experiences related to data analysis
  • Kmong AI natural language processing, big data analysis Prime service operation (Kmong's top 2% service)
  • Experience in writing numerous big data papers and projects using TEXTOM

Q&A 💬

Q. Can I write a paper on research trends or cognitive analysis big data after taking this course?

This course will help those who wish to write a big data paper extract data.

Q. I want to apply text mining to my work. Is it okay to take this course?

Yes, this course consists of practical exercises on analytical methods commonly used in text mining. Those interested in applying these methods in their work are also encouraged to attend.

Q. I'm a beginner in text mining and Textom. Can I still take the course?

Yes, this course is aimed at beginners, but it covers all the analysis methods you can apply in real-world situations. However, if you're a complete beginner, I recommend reading and studying the Textom manual.

💡 I want to help those who are starting out with text mining and textom!

I'll personally implement the Textom usage methods you've been curious about, provide concise, core explanations of text mining, and support you as you consider big data analysis and research. Thank you so much for reading. See you in class!

"If you have any questions after taking the class, please leave them at my email address (leejinkyu0612@naver.com) and I will answer them one-on-one!"

1:1 Coaching Example

Recommended for
these people

Who is this course right for?

  • Learn Text Mining?

  • Those who don't know coding but want to do big data analysis

  • Anyone who wants to know how to use Textom

  • Those who wish to learn Textom through practical examples, not theory

Need to know before starting?

  • Basic Knowledge about Text Mining

  • New to TexTOM? Read the official TexTOM manual!

Hello
This is

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Learners

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Reviews

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Answers

4.6

Rating

10

Courses

안녕하세요 AI와 빅데이터 분석에 진심인 해피AI 이진규입니다.

[강사약력]

이진규 (Lee JinKyu)

해피AI (Happy AI CEO)

생성 AI 및 빅데이터 분석 분야의 최신 트렌드, 인사이트, 기술 활용 방법을 깊이 있게 전달합니다.

 

🎒  강연 및 외주 문의

[email] leejinkyu0612@naver.com

[Blog] 📺https://blog.naver.com/leejinkyu0612

[YouTube] 📺 https://www.youtube.com/@HappyAI_0612

[github] https://github.com/leejin-kyu/

[Homepage] https://happyaidata.kr

[H.P] 010-9973-2113

[kakao] jinkyu0612

 

📘 크몽 Prime 전문가(상위 2%)📺https://kmong.com/gig/345782

 삼성전자, 서울대, 교육청, 경기연구원, 산림청, 국립공원관리공단, 서울시 등 다수의 정부기관 및 교육기관 프로젝트 진행

의료,커머스,생태,법학,경제,예체능 등 다양한 도메인의 연구경험(총 연구 프로젝트 200회 이상 진행)

 

📘 Bio

- 2024.07~ 생성 AI 및 빅데이터 분석 전문기업 해피AI 대표

- 2023~ 퍼블릭 뉴스 AI 칼럼니스트(AI편향 및 RAG챗봇 전문)

- 2022. AI대학원 박사과정 수료(자연어처리 및 LLM 전공)

- 2021~2023 AI/빅데이터 전문 기업 스텔라비전 개발자

- 2018~2021 정부출연연구기관 자연어처리/빅데이터 분석 연구원 (인문사회과학 데이터 연구)

 

🎒Courses & Activities

 

2025

LLM/sLLM 애플리케이션 개발 강의-파인튜닝, RAG, Agent 기반 . KT(2025)

 

2024

Langchain 및 RAG 등 LLM 프로그래밍.삼성SDS(2024)

ChatGPT 기반 빅데이터 분석 입문. 렛유인에듀 (2024)

인공지능 기초 및 데이터 분석 기초 강의. 한국직업개발원 (2024)

LLM 실무자를 위한 LLM이론 및 Langchain 기반 RAG챗봇 개발 강의. 서울디지털 재단 (2024)

쉽게 따라하는 LDA & 감성분석 빅데이터분석법 with ChatGPT. 인프런 (2024)

파이썬을 활용한 텍스트 분석 강의. 서울과학기술대학교 (2024)

랭체인(LangChain)을 활용한 LLM 챗봇 만들기(feat.ChatGPT). 인프런 (2024)

 

2023

ChatGPT를 활용한 파이썬 기초 강의. 경기대학교 (2023)

빅데이터 전문가 과정 특강. 단국대학교 (2023)

빅데이터 분석 기초 강의. 렛유인에듀 (2023)

 

 

💻 Projects

LLM 기반 산림 복원 빅데이터 분석(국립산림과학원)

Private LLM 기반 RAG 챗봇 모델 구축 (한국전력공사)

AI 기반 빅데이터 분석 기법을 적용한 설문 데이터 분석 (A정부기관)

내부망 전용 PrivateLLM을 활용한 텍스트마이닝 솔루션 개발 (D 정부기관)

빅데이터 분석을 통한 한우시장 트렌드 분석 (이화브리오)

Instruction Tuning 및 강화학습(RLHF)을 통한 LLM 모델 개발 (서울디지털재단)

AI 언어모델 기반 헬스케어 서비스의 사용자 리뷰 텍스트 분석 (삼성전자)

자연어 처리 기술 기반 텍스트마이닝을 활용한 연구동향 분석 (한국대기환경학회)

AI 모델 kopatBERT 기반 특허 논문 QA 모델 개발 (한국기술마켓)

딥러닝 기반 토픽모델링을 활용한 법학 설문 빅데이터 분석 (서울대학교)

AI 모델 Word2Vec과 감성분석을 적용한 설문 문항 빅데이터 분석 (경기연구원)

AI 모델 RNN 기반 리뷰 인사이트 추출 및 분석 프로그램 개발 (서클플랫폼)

빅데이터를 활용한 2022년 국립공원 탐방 키워드 분석 (국립공원관리공단)

이외에도 다수의 공공기관, 기업체와 개인적 의뢰 등 총 200건 이상 프로젝트 진행

 

📖 Publication

 [주요 논문 ]

Improving Commonsense Bias Classification by Mitigating the Influence of Demographic Terms.2024.

Improving Generation of Sentiment Commonsense by Bias Mitigation" International Conference on Big Data and Smart Computing.2023.

언론기사 빅데이터 분석을 통한 대규모 언어모델에 대한 기술 인식 분석: ChatGPT 등장 전후를 중심으로, 2024

자연어 처리(NLP)기반 텍스트마이닝을 활용한 소나무에 대한 국내외 연구동향(2001∼2020)분석 | 농업생명과학연구 | 2022

숲길에 대한 10 년간의 언론 인식분석-텍스트 마이닝 분석을 중심으로 | 산림경제연구 | 2021

이외에도 타 분야에서 다수의 학술논문, 학술발표, 연구보고서 등의 성과 창출

Others

Python을 활용한 데이터분석 및 시각화

LLM을 활용한 데이터분석

ChatGPT와 LangChain,Agent을 활용한 업무 생산성 향상

Curriculum

All

78 lectures ∙ (9hr 38min)

Course Materials:

Lecture resources
Published: 
Last updated: 

Reviews

All

9 reviews

4.7

9 reviews

  • Jieun So님의 프로필 이미지
    Jieun So

    Reviews 1

    Average Rating 5.0

    5

    22% enrolled

    논문 작성을 위해 공부할 강의를 찾다가 듣게 되었습니다. 실용적인 내용을 다뤄주셔서 차근차근 실습하면서 적용해보고자 합니다. 좋은 강의 감사합니다 :D

    • 해리님의 프로필 이미지
      해리

      Reviews 1

      Average Rating 5.0

      5

      75% enrolled

      이론적인 이야기 뿐만 아니라 실사용에 필요한 꿀팁을 알려주시는 정말 효율적인 강의에요. 과외를 받는 기분으로 재밌게 공부했습니다!

      • 김안나님의 프로필 이미지
        김안나

        Reviews 1

        Average Rating 5.0

        5

        99% enrolled

        도움이 많이 되었어요!!

        • Mijin Kim님의 프로필 이미지
          Mijin Kim

          Reviews 1

          Average Rating 5.0

          5

          31% enrolled

          좋아요

          • benign29님의 프로필 이미지
            benign29

            Reviews 3

            Average Rating 5.0

            5

            99% enrolled

            논문 작성하면서 텍스톰 작업이 필요했는데 이론부터 실습까지 자세히 설명해주셔서 많은 도움이 되었습니다. 반복되는 내용이 있었지만 오히려 자꾸 들으니 더 익숙해진 것 같아요!! 좋은 강의 감사합니다 :)

            $53.90

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