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bert-topic-models icon bert-topic-models

BERT 기반의 문맥을 반영한 한국어 토픽 모델링 (BERT Contextualized Topic Models)

bertopic icon bertopic

Leveraging BERT and c-TF-IDF to create easily interpretable topics.

capturing_issues_with_dtm_and_bigkinds icon capturing_issues_with_dtm_and_bigkinds

It was written to capture issues in Korean news data through Dynamic Topic Model. The news data source is BIGKINDS, which is one of the biggest news data archive in Korea.

covid-19-data icon covid-19-data

Data on COVID-19 (coronavirus) cases, deaths, hospitalizations, tests • All countries • Updated daily by Our World in Data

dynamic-nmf icon dynamic-nmf

Dynamic Topic Modeling via Non-negative Matrix Factorization

embedding icon embedding

한국어 임베딩 (Sentence Embeddings Using Korean Corpora)

hangul-utils icon hangul-utils

An integrated library for Korean language preprocessing.

kobertopic icon kobertopic

KoBERTopic은 BERTopic을 한국어 데이터에 적용할 수 있도록 토크나이저와 BERT를 수정한 코드입니다.

konlpy icon konlpy

Python package for Korean natural language processing.

koreanewscrawler icon koreanewscrawler

대량의 뉴스 데이터를 수집하기 위해 만들어진 뉴스 크롤러입니다.

lda_newsdata icon lda_newsdata

빅카인즈 뉴스 데이터 LDA 토픽모델링 (gensim)

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