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Data Science

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Data Analysis

[Free] Basic Text Mining: App Review Analysis with Python (40-minute completion)

This course teaches Python-based text mining: basic theory and practice. It covers fundamental text mining data analysis for practical or thesis writing.

(4.7) 14 reviews

678 learners

Level Basic

Course period Unlimited

  • HappyAI
Text Mining
Text Mining
Big Data
Big Data
NLP
NLP
Data literacy
Data literacy
Text Mining
Text Mining
Big Data
Big Data
NLP
NLP
Data literacy
Data literacy
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Reviews from Early Learners

Reviews from Early Learners

4.7

5.0

bigdata

100% enrolled

It helped me a lot in getting started.

5.0

seonflower1123

100% enrolled

Thank you so much for the kind and great lecture :)

5.0

Jang Jaehoon

50% enrolled

Thank you for the great lecture!

What you will gain after the course

  • Text mining

  • Frequency analysis

  • Word Cloud Visualization

  • App Review Analysis

  • Text Analysis

For text mining analysis or related paper writing
Welcome to those with concerns! 🙌

💾 Please check before taking the class!

Data analysis projects and big data paper writing using Python 🖥️

This course is suitable for those considering big data analysis and paper writing using text mining techniques. It provides theoretical understanding of the technical aspects of data analysis and tips on data extraction techniques for writing big data papers.

This course covers big data analysis and text mining techniques using Python, and how to extract meaningful information from data and text.

Learn things like this 📚

  1. You will understand how to analyze big data and text data using Python.
  2. You will learn techniques required for data analysis, such as data preprocessing, visualization, and statistical analysis .
  3. You can acquire the data analysis skills required to write big data papers.
  4. You can improve your data analysis skills by learning various data and text analysis tools and techniques .

I recommend this to these people 🙆‍♀️

Researchers, data scientists, and machine learning engineers working in the data field

Researchers and graduate students who wish to write papers on text mining and big data

Anyone interested in big data analysis and text mining analysis technology

Join this lecture 😊

  • Students who are anxious about data analysis and paper writing can strengthen their skills through this course.
  • By learning how to extract meaningful information from data and text, students will acquire advanced skills in big data analysis and text mining. These skills will significantly enhance their job competencies and academic achievement.

Lecture Features ✨

Providing information related to data extraction and analysis required for paper writing

Practical data analysis using Python

Easy explanations that even Python beginners can follow.

Learn how to extract meaningful information from big data and text data with Python.

The right balance of theory and practice! Practical training based on theory and real-world data analysis.


Recommended for
these people

Who is this course right for?

  • Aspiring Python Text Miners

  • Anyone interested in text mining techniques

  • For those who want to analyze app reviews by rating

  • For those interested in Text Mining basic theory and hands-on practice

Need to know before starting?

  • Python Basic Syntax

Hello
This is

4,481

Learners

224

Reviews

51

Answers

4.6

Rating

11

Courses

Lee JinKyu | Lee JinKyu

AI·LLM·Big Data Analysis Expert / CEO of Happy AI

👉You can check the detailed profile at the link below.
https://bit.ly/jinkyu-profile

Hello.
I am Lee JinKyu (Ph.D. in Engineering, Artificial Intelligence), CEO of Happy AI, who has consistently worked with AI and big data analysis across R&D, education, and project sites.

I have analyzed various unstructured data, such as
surveys, documents, reviews, media, policies, and academic data,
based on Natural Language Processing (NLP) and text mining.
Recently, I have been delivering practical AI application methods tailored to organizations and work environments
using Generative AI and Large Language Models (LLMs).

I have collaborated with numerous public institutions, corporations, and educational organizations, including Samsung Electronics, Seoul National University, Offices of Education, Gyeonggi Research Institute, Korea Forest Service,
and Korea National Park Service, and have conducted a total of over 200 research and analysis projects across various domains such as
healthcare, commerce, ecology, law, economics, and culture.


🎒 Inquiries for Lectures and Outsourcing

Kmong Prime Expert (Top 2%)


📘 Bio (Summary)

  • 2024.07 ~ Present
    CEO of Happy AI, a company specializing in Generative AI and Big Data analysis

  • Ph.D. in Engineering (Artificial Intelligence)
    Dongguk University Graduate School of AI

    Major: Large Language Models (LLM) (2022.03 ~ 2026.02) 2023 ~ 2025 Public News AI Columnist (Generative AI Bias, RAG, LLM Utilization Issues) 2021 ~ 2023 AI & Big Data Specialist Company Stell

    Major: Large Language Models (LLM)

    Bio (Summary) 2024.07 ~ Present CEO of Happy AI, a company specializing in Generative AI and Big Data Analysis Ph.D. in Engineering (Artificial Intelligence) Dongguk University Graduate School of AI Major: Large Language Models (LLM)

    (March 2022 – February 2026)

  • 2023 ~ 2025
    Public News AI Columnist
    (Generative AI Bias, RAG, LLM Utilization Issues)

  • 2021 ~ 2023
    Developer at Stellavision, an AI and Big Data company

  • 2018 ~ 2021
    Government-funded Research Institute NLP & Big Data Analysis Researcher


🔹 Areas of Expertise (Lecture & Project Focused)

  • Generative AI and LLM Utilization

    • Private LLM, RAG, Agent

    • Basics of LoRA and QLoRA Fine-tuning

  • AI-based Big Data Analysis

    • Survey, review, media, policy, and academic data

  • Natural Language Processing (NLP) & Text Mining

    • Topic Analysis, Sentiment Analysis, Keyword Networks

  • Public/Corporate AI Task Automation

    • Document Summarization, Classification, and Analysis

      Natural Language Processing (NLP) and text mining for reviews, media, policy, and academic data. Topic analysis, sentiment analysis, and keyword networks. Public and corporate AI workflow automation for document summarization, classification, and analysis.


🎒 Courses & Activities (Selected)

2025

  • LLM/sLLM Application Development
    (Fine-tuning, RAG, and Agent-based) – KT

2024

  • LangChain·RAG-based LLM Programming – Samsung SDS

  • LLM Theory and RAG Chatbot Development Practice – Seoul Digital Foundation

  • Introduction to Big Data Analysis based on ChatGPT – LetUin Edu

  • AI Fundamentals & Prompt Engineering Techniques – Korea Vocational Development Institute

  • LDA & Sentiment Analysis with ChatGPT – Inflearn

  • Python-based Text Analysis – Seoul National University of Science and Technology

  • Building LLM Chatbots with LangChain – Inflearn

2023

  • Python Basics using ChatGPT – Kyonggi University

  • Big Data Expert Course Special Lecture – Dankook University

  • Fundamentals of Big Data Analysis – LetUin Edu


💻 Projects (Summary)

  • Building a Private LLM-based RAG Chatbot (Korea Electric Power Corporation)

  • LLM-based Big Data Analysis for Forest Restoration (National Institute of Forest Science)

  • Private LLM Text Mining Solution for Internal Networks (Government Agency)

  • Instruction Tuning and RLHF-based LLM Model Development

  • Healthcare, Law, Policy, and Education Data Analysis

  • AI Analysis of Survey, Review, and Media Data

Over 200 projects completed, including public institutions, corporations, and research institutes


📖 Publication (Selected)

  • 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)

  • Analysis of Perceptions of LLM Technology Based on News Big Data (2024)

  • Numerous NLP-based text mining studies
    (Forestry, Environment, Society, and Healthcare sectors)


🔹 Others

  • Python-based data analysis and visualization

  • Data Analysis Using LLM

  • Improving work productivity using ChatGPT, LangChain, and Agents

Curriculum

All

6 lectures ∙ (52min)

Course Materials:

Lecture resources
Published: 
Last updated: 

Reviews

All

14 reviews

4.7

14 reviews

  • bigdata6408님의 프로필 이미지
    bigdata6408

    Reviews 1

    Average Rating 5.0

    5

    100% enrolled

    It helped me a lot in getting started.

    • seonflower11233384님의 프로필 이미지
      seonflower11233384

      Reviews 1

      Average Rating 5.0

      5

      100% enrolled

      Thank you so much for the kind and great lecture :)

      • letitgo5553480님의 프로필 이미지
        letitgo5553480

        Reviews 2

        Average Rating 5.0

        5

        100% enrolled

        • jjhgwx님의 프로필 이미지
          jjhgwx

          Reviews 644

          Average Rating 4.9

          5

          50% enrolled

          Thank you for the great lecture!

          • chinij님의 프로필 이미지
            chinij

            Reviews 22

            Average Rating 4.8

            5

            50% enrolled

            Free

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