Homepage of ANT Lab

Lab Info

    Advanced Neural-nets and Topic-models (ANT) laboratory belongs to the department of Bigdata engineering in SoonChunHyang University, South Korea. The lab has two main research area: "information extraction" and "text mining", where focused technologies are deep learning and topic modeling.


Research Area

  • Korean ML, Korean TimeBank, and Temporal Information Extraction from Korean Texts
  • Intelligent & Emotional Conversational System, Chatbot, Dialog System
  • Malware Detection
  • Clinical data (EMR, vital sign, ...) analysis
  • Pharmaceutic data analysis (automatic finding coformer pairs)


Notable Projects

Excluded: HRDP(human resource development projects)

  • Adaptive Emotional Dialog Agent for One Person Household, 2020.6 ~ 2025.5, NRF
  • Big data-based development of novel solid forms for P-CAB drugs, 2020.4 ~ 2021.12, IITP
  • Dialog system & Code classification system, 2019.12 ~ 2020.8, FS
  • Deep-learning based malware detection of non-executables, 2020.3 ~ 2020.11, ETRI
  • Industry/Job code classification using deep laerning, 2018.9 ~ 2020.9, MSS
  • Enbot project, 2018.10 ~ 2019.1, Soonchunhyang Univ.
  • Slot Normalizer, 2017.1 ~ 2017.6, Naver corporation
  • Out-Of-Domain Detection, 2017.3 ~ 2020.2, NRF


Note1: Some demo require HTTPS connection, so just accept if you want to proceed, please.

Note2: Some demo links may not be available temporarily if it is on update process.

Note3: Some demo links are deprecated as they are not for service anymore.

  • Covid-19 chatbot[Video]
  • Job Requirement Analysis using Elastic-search[LINK]
  • Slot-Normalizer[LINK]
  • Dialog system[LINK] [Video1] [Video2]
  • Grade(score) notice program[LINK]
  • Special characters by drawing [Video]
  • Korean Temporal-Information Extraction from Korean Texts [LINK]
  • (deprecated) Chatbot [LINK]
  • (deprecated) News-feed show of department [LINK]
  • (deprecated) Lecture qualitative evaluation [LINK]
  • (deprecated) Self carrier service for students [LINK]

Open data

  • Cocrystal formation prediction[Data]


  • bytecell@sch.ac.kr (professor)


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