I’m interested in everything except anything i’m not. My ultimate goal is to lower the barriers of knowledge with technology – specifically through data. I was lucky to recieve my bachelor’s, master’s, doctoral degrees from Seoul National University, which has a wonderful campus based in South Korea. I currently work at Naver, and building Papago’s machine translation engines.

News

  • [Jun 2017] I’m organizing and participating in the Machine Learning Camp 2017 at Jeju. I will be mentoring Judit Ács, and we will be building a morphology segementation model for Hungarian!
  • [Dec 2016] Papago won 1st place in Naver’s 2016-4Q Project Presentations, and 2nd place among all projects presented at 2016 Naver User Connect Day! 1
  • [Aug 2016] I’ve (finally) graduated Seoul National University, and joined the machine translation team at Naver Corporation to build Papago!

Publications

  • 밑바닥부터 시작하는 데이터 과학: 데이터 분석을 위한 파이썬 프로그래밍과 수학, 통계 기초, 도서출판 인사이트, Jun 2016. 2
    박은정, 김한결, 하성주.
    [goodreads]
  • Automated discovery of construction tacit knowledge based on text mining: A Preliminary Study, CIB World Building Congress, Tampere, Finland, May 2016.
    Yoonjung Shin, Eunjeong Park, Seokho Chi.
  • D3를 이용한 시각적 스토리텔링, 도서출판 인사이트, Jun 2015. 3
    박은정, 김한결.
    [goodreads]
  • Pseudo term vector representation for fast document clustering (for Korean), Domestic conference on Korean Institute of Industrial Engineering, Jeju, Korea, Apr 2015.
    Hyunjoong Kim, Eunjeong Park, Misuk Kim, Hankyul Kim, Pilsung Kang, Sungzoon Cho.
  • Using bigrams for online topic detection in Korean news articles, Domestic conference on Korean Institute of Information Scientists and Engineers, Jeju, Korea, June 2015.
    Taewook Kim, Eunjeong Park, Sungzoon Cho.
  • 북한 신년사에 대한 자동화된 텍스트 분석: 1946-2015 (Text analysis of North Korean New Year addresses: 1946-2015, Korean Political Science Review, 49.2, pp. 27-61, Feb 2015.
    Jong Hee Park, Eunjeong Park, Dongjoon Cho.
    [dbpia]
  • 한국어 형태소 분석기의 현황 및 특성 비교 (Survey and comparison of Korean open source morphological analyzers), Korea BI Data Mining Society (KDMS) Fall Conference, Nov 29 2014.
    박은정, 조성준, 이상구.
    [html] [pdf]
  • 웹기반 한국어 워드클라우드 생성기의 개발 및 활용 (The development and application of a Web-based Korean wordcloud generator), Korea BI Data Mining Society (KDMS) Fall Conference, Nov 29 2014.
    박은정, 조성준, 서진욱.
    [html] [pdf]
  • KoNLPy: Korean natural language processing in Python, Proceedings of the 26th Annual Conference on Human & Cognitive Language Technology, Chuncheon, Korea, 2014.
    Eunjeong Park, Sungzoon Cho.
    [website] [code]
  • Bridging the semantic gap in multimedia retrieval with topic extraction from user reviews search, INFORMS Big Data Conference. San Jose, United States, 2014.
    Eunjeong Park, Hyunjoong Kim, Seokho Kang, Sungzoon Cho, Yongki Lee.
  • Data based segmentation and summarization for sensor data in semiconductor manufacturing, Expert Systems with Applications 41.6, pp. 2619-2629, 2014.
    Eunjeong Park, Jooseoung Park, Jiwon Yang, Sungzoon Cho, Young-Hak Lee, Hae-Sang Park.
    [sciencedirect]
  • 프로그램 리뷰 사이트와 Twitter를 통한 TV 프로그램 인기도 비교, 대한산업공학회/한국경영과학회 춘계공동학술대회, 2013.
    Taehoon Ko, Eunjeong Park, Hyunjoong Kim, Pilsung Kang, Sungzoon Cho.
  • TV프로그램 정보 기반 자동녹화 방법론 개발, 한국경영과학회 추계학술대회, 2012.
    Taehoon Ko, Eunjeong Park, Hyunjoong Kim, Pilsung Kang, Sungzoon Cho.
  • Feature selection for identifying high defect density sensors in semiconductor manufacturing, INFORMS International. Beijing, China, 2012.
    Eunjeong Park, Dongil Kim, Taehook Ko, Sungzoon Cho, Young-Hak Lee.
  • Parameter adaption for multivariate statistical process control in semiconductor manufacturing using genetic algorithms, 대한산업공학회/한국경영과학회 춘계공동학술대회, 2012.
    Eunjeong Park, Jooseoung Park, Jiwon Yang, Sungzoon Cho.
  • Robust segmentation for sensor data in semiconductor manufacturing, 한국BI데이터마이닝학회 춘계학술대회, 2012.
    Eunjeong Park, Jooseoung Park, Jiwon Yang, Sungzoon Cho.
  • Random Forest 기법을 사용한 저수율 반도체 웨이퍼 검출 및 혐의 설비 탐색, 한국 BI데이터마이닝학회 추계 학술대회. 2010.
    Taehoon Ko, Dongil Kim, Eunjeong Park, Sungzoon Cho.
  • mRFS: Minimum redundancy feature selection based on a clustering Filter, 한국 BI데이터마이닝학회 추계 학술대회. 2010.
    Eunjeong Park, Sungzoon Cho.
  • Feature selection for detecting faulty equipment parameters in semiconductor manufacturing process, 대한산업공학회 추계학술대회. 2010.
    Eunjeong Park, Dongil Kim, Taehoon Ko, Sungzoon Cho.

Teaching and Public Talks

Honors and Awards

  • Jun 2014: Lee Joong Han Award - Research Division Winner, Industrial Engineering Dept., SNU. 4
  • Dec 2013: Samsung Tomorrow Solutions Competition - Winner, Samsung Electronics, Ministry of Science in Korea. 5
  • Mar 2011: Ph.D. Scholarship, Samsung Electronics. 6
  • Mar 2011: Global Ph.D. Fellowship, National Research Foundation in Korea. 7

Community services

  1. 네이버 서비스위원회 과제발표회 2016년 4분기 성과부문 1위, 네이버 사용자 커넥트 데이 2017년 성과부문 2위. 

  2. Korean translation of Data Science from Scratch: First Principles with Python by Joel Grus

  3. Korean translation of Visual Storytelling with D3: An Introduction to Data Visualization in JavaScript by Ritchie King

  4. The Lee Joong Han Award (research division) is given annually to graduate students whose publication journal has the highest impact factor, among those with first authorships in the previous year within the Industrial Engineering department of Seoul National University. Granted $2,000. 

  5. The Samsung Tomorrow Solutions Competition is a Korean national competition held by Samsung Electronics and the Ministry of Science of Korea, that aims to develop and implement solutions to make a change in our future. It was a 6 month long competition with more than 3000 participants and 1000 teams. Awarded the Minister of Science Award (first place). Prize approx. $50,000. 

  6. Granted approx. $100,000 until graduation. 

  7. The Global Ph.D. Fellowship is a government grant program for young researchers. In 2011, 300 scholars were granted among 1270 applicants. Granted approx. $90,000 for 3 years.