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[PyTorch] GAN を簡単に素早く学ぶ
coco
GAN(Generative Adversarial Networks)について、わかりやすく正確に学びます。
중급이상
Deep Learning(DL), Artificial Neural Network, PyTorch
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.

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! 💎
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!
Learn about KoNLP, a morphological analyzer, extract top keywords, and create a word cloud.
Learn how to build your own dictionary to perform sentiment analysis, and how to do it using regression analysis (machine learning).
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.
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.
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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4.4
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Courses
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.
All
13 lectures ∙ (4hr 10min)
Course Materials:
1. Orientation
06:06
All
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$34.10
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