lovit/KR-WordRank
비지도학습 방법으로 한국어 텍스트에서 단어/키워드를 자동으로 추출하는 라이브러리입니다
Need to quickly understand the main topics and key sentences from a large collection of Korean text, like customer reviews or news articles? This tool automatically extracts the most important keywords and representative sentences without needing complex linguistic analysis. It takes raw Korean text documents and outputs a list of ranked keywords and a selection of core sentences. It's ideal for analysts, researchers, or anyone working with Korean text data who needs to distill its essence efficiently.
353 stars.
Use this if you need to quickly identify the most important words and summarize the key points from large volumes of Korean text without prior linguistic processing.
Not ideal if you require highly nuanced semantic understanding or a fine-grained morphological analysis of Korean.
Stars
353
Forks
55
Language
Python
License
—
Category
Last pushed
Mar 12, 2026
Commits (30d)
0
Get this data via API
curl "https://pt-edge.onrender.com/api/v1/quality/nlp/lovit/KR-WordRank"
Open to everyone — 100 requests/day, no key needed. Get a free key for 1,000/day.
Related tools
vi3k6i5/flashtext
Extract Keywords from sentence or Replace keywords in sentences.
andrewtavis/kwx
BERT, LDA, and TFIDF based keyword extraction in Python
alirezatheh/perke
A keyphrase extractor for Persian
cbaziotis/ekphrasis
Ekphrasis is a text processing tool, geared towards text from social networks, such as Twitter...
gagan3012/keytotext
Keywords to Sentences