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Text mining with R (from top keywords to sentiment analysis)

This is a lecture that will teach you step-by-step how to use R to analyze top keywords, wordclouds, sentiment analysis, and topic modeling in text.

(4.3) 11 reviews

301 learners

  • coco
R
Web Crawling
Text Mining

Reviews from Early Learners

What you will gain after the course

  • How to do morphological analysis

  • Top keyword extraction

  • How to draw a pretty wordcloud

  • Sentiment analysis

  • Topic Modeling(LDA)

In the sea of pouring data
Let's create some gem-like information! 💎

What is text mining? 🤔

Text mining is a process of mining unstructured data. Mining involves extracting statistically significant concepts and extracting information through patterns within them. Text mining refers to mining unstructured data such as videos, messages, and location information . However, unstructured data lacks a defined format, making data collection difficult.

In this lecture, you'll learn how to handle unstructured data, which is becoming increasingly important due to the rise of social media!


What will you learn? 📖

1. Extract top keywords / Draw a pretty WordCloud

Learn about KoNLP, a morphological analyzer, extract top keywords, and create a word cloud.



2. Try dictionary-based/machine learning sentiment analysis.

Learn how to build your own dictionary to perform sentiment analysis, and how to do it using regression analysis (machine learning).

What is sentiment analysis?

Sentiment analysis is a process of quantifying subjective information, such as emotions or opinions, contained in text, based on words and context . Sentiment analysis is also actively used in business, such as gathering and leveraging consumer opinions on products and services. Sentiment analysis is also a type of text mining technology.

3. Topic modeling


Related lectures 🖋️

  • You can learn basic crawling techniques.
  • It is recommended that you study this before taking this course.
  • Click on the image to go to that lecture.

Expected Questions 🙋‍♀️

Q. Can non-majors also take the course?

This course assumes a basic understanding of the R language . Those who have taken the "Introduction to Web Crawling with R" course will find this course easy to follow.

Recommended for
these people

Who is this course right for?

  • Anyone who wants to do text mining with R

  • Anyone who has taken the crawling class

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Answers

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학부에서는 통계학을 전공하고 산업공학(인공지능) 박사를 받고 여전히 공부중인 백수입니다.

 

수상

ㆍ 제6회 빅콘테스트 게임유저이탈 알고리즘 개발 / 엔씨소프트상(2018)

ㆍ 제5회 빅콘테스트 대출 연체자 예측 알고리즘개발 / 한국정보통신진흥협회장상(2017)

ㆍ 2016 날씨 빅데이터 콘테스트/ 기상산업 진흥원장상(2016) 

ㆍ 제4회 빅콘테스트 보험사기 예측 알고리즘 개발 / 본선진출(2016)

ㆍ 제3회 빅콘테스트 야구 경기 예측 알고리즘 개발 / 미래창조과학부 장관상(2015)

* blog : https://bluediary8.tistory.com

주로 연구하는 분야는 데이터 사이언스, 강화학습, 딥러닝 입니다.

크롤링과 텍스트마이닝은 현재는 취미로 하고있습니다 :) 

크롤링을 이용해서 인기있는 커뮤니티 글만 수집해서 보여주는 마롱이라는 앱을 개발하였고

전국의 맛집리스트와 블로그를 수집해서 맛집 추천 앱도 만들었었죠 :) (시원하게 말아먹..)

지금은 인공지능을 연구하는 박사과정생입니다.

 

 

 

 

Curriculum

All

13 lectures ∙ (4hr 10min)

Course Materials:

Lecture resources
Published: 
Last updated: 

Reviews

All

11 reviews

4.3

11 reviews

  • hjsjforever5083님의 프로필 이미지
    hjsjforever5083

    Reviews 3

    Average Rating 5.0

    5

    100% enrolled

    実は実習だけ一緒にしながらやるからいいけど まだ未熟な時点ではハプバンマンに従っていくのは難しかったです。 それでも繰り返し見ればいいと思います。 韓国語のテキスト分析特にトピックと感性分析をオンラインガイで聞くことができる場所が多くなくて重要な講義にならなかったかと思います。 もう一度見てみると、もう少し理解して直接コードを活用できると思います。 傷や素材でコードをあらかじめみてくれてよかったです。

    • aquarid22님의 프로필 이미지
      aquarid22

      Reviews 12

      Average Rating 5.0

      5

      100% enrolled

      R 機械学習を study して業務に適用している人として テキスタイルマイニングだけでなく、全体的な機械学習の概念を理解する、 そしてRコーディングスキル向上にも本当に役に立つ、 実務適用性と実力向上の2つを同時につかむことができる コスパ最高の講義と言えます。 最後の講義であるLDAの内容も少し難しかったが.. 後で同様の分析が必要な場合 講義を振り返りながら適用できるようですね~~ レベルの高い講義を非常に手頃な価格で提供してくださった 講師に感謝します...

      • psangkuk6551님의 프로필 이미지
        psangkuk6551

        Reviews 4

        Average Rating 5.0

        5

        100% enrolled

        報告書、業務遂行時にキーワード分析をして重要なキーワードにまとめてみましたね。 感性分析を通じて機械学習の数値ファクターについても身につける良い授業となりました。おすすめです。

        • softjara0875님의 프로필 이미지
          softjara0875

          Reviews 10

          Average Rating 5.0

          5

          100% enrolled

          講師様講義中、すでに4つを申請して聞いています。 Rを使ってテキストマイニングと感性分析を理解するのに大いに役立ちます。ただ残念なのは、直接コーディングしてコードをコピーしてきて、実行する画面から出て行ったりすると気を散らすということです。講師様が編集作業をしてから説明をしていただければ幸いです。^^

          • geonhee2720836님의 프로필 이미지
            geonhee2720836

            Reviews 3

            Average Rating 5.0

            5

            100% enrolled

            あまりにも良い講義です!!ココ様講義また聞きたいですねㅎㅎ

            • coco
              Instructor

              良いレビューはいつもありがとうございます。お役に立てば幸いです:)

          $34.10

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