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[PyTorch] 쉽고 빠르게 배우는 NLP
코코
기본적인 자연어처리 기법(Natural Language Processing)과 딥러닝을 활용한 다양한 텍스트 task에 대해 다룹니다.
중급이상
딥러닝, 인공신경망, PyTorch
You have learned the basics of programming, crawling, and text mining, but have you ever felt lost when it comes to actually doing a project? This is a lecture where you will go through a project with me from start to finish.
News data analysis
Top keyword visualization
word2vec
Recommendation and search system
🙆🏻♀ This is a practical text mining project. This course covers everything from news data collection to extracting and visualizing monthly top keywords, and even creating a news recommendation system! 🙆🏻♂
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 will walk you through a project from start to finish. This course will cover the following:
Nate News collects 400 articles per day across all categories in 2019.
Nate News collects 400 articles per day across all categories in 2019.
Let's visualize daily/monthly top keywords in Excel.
Nate News collects 400 articles per day across all categories in 2019.
A basic and widely used method of word representation is 'word2vec'. Let's learn about the concept and train it with news data.
We create a news search recommendation model by creating a sentence vec from the news title and using cosine similarity.
Q. Can I listen without knowing R at all?
A. You should have a basic understanding of the R language, web crawling, and text mining to easily follow this course. 😭😭. I recommend taking the free R programming introductory course and the text mining course.
Who is this course right for?
Anyone interested in trying out a text mining project
Anyone who wants to analyze news data
Need to know before starting?
R programming
Web crawling
Text Mining Basics
8,299
Learners
501
Reviews
136
Answers
4.4
Rating
20
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
14 lectures ∙ (3hr 16min)
Course Materials:
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$26.40
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