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Data Analysis

Text Mining Practical Project - Ranking Restaurants Near My House

This is a practical text mining project. This is a lecture that covers everything from data collection to sentiment analysis and data visualization all at once!!

(5.0) 2 reviews

113 learners

  • coco
R
Big Data
Web Crawling

What you will learn!

  • Utilizing web crawling

  • Applying sentiment analysis to restaurants

  • Map visualization


🙆🏻‍♀ This is a practical text mining project.
🙆🏻‍♂
This course covers everything from data collection to sentiment analysis and data visualization!



🗒 Course Introduction

You've learned the basics of programming, crawling, and even taken a text mining course, but are you still feeling overwhelmed when it comes to actually working on a project? This course walks you through a project from start to finish with me.

🌈 Collection of a list of delicious restaurants near my house

I use Naver Maps to collect a list of restaurants near my house.

🌈 Gourmet blog data collection

After setting keywords that can be searched on the blog, we collect blog data for each restaurant.

🌈 Sentiment Analysis of Restaurant Data

We train a sentiment analysis model based on supervised learning and build a sentiment dictionary with an accuracy of up to 80%.
Apply sentiment analysis to blog data based on the built dictionary.


🌈 Restaurant Ranking and Data Visualization

We apply sentiment analysis to each restaurant to rank them and visualize them on a map.
Additionally, we will draw a word cloud for each restaurant.

🙋🏻‍♂️ Expected questions related to the lecture

Q. Can I listen without knowing R at all?
A. You should have a basic understanding of R, web crawling, and text mining to easily follow this course. 😭😭. I recommend taking the free R Programming Fundamentals course and the Text Mining course. I've also uploaded basic information on web crawling and sentiment analysis (web crawling practice, text mining lecture videos). If you find these courses easy to follow, you don't need to take the other courses!

Recommended for
these people

Who is this course right for?

  • Anyone who wants to try a practical text mining project

  • Anyone who wants to try applying sentiment analysis

Need to know before starting?

  • R basics

  • Basic knowledge of web crawling and text mining

Hello
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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

16 lectures ∙ (5hr 23min)

Course Materials:

Lecture resources
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Reviews

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2 reviews

5.0

2 reviews

  • sehok304님의 프로필 이미지
    sehok304

    Reviews 1

    Average Rating 5.0

    5

    100% enrolled

    어떻게 흘러가야 하는지 문제가 생길 경우 어떻게 해결해야 하는지 잘 배울 수 있는 과정이었습니다. 응용해서 저만의 것을 새로 만들어봐야겠네요 :)

    • 신은정님의 프로필 이미지
      신은정

      Reviews 2

      Average Rating 5.0

      5

      69% enrolled

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