Navy10021/Parallel_Clustering_based_TM
Parallel clustering-based Topic Modeling
This project helps political analysts, researchers, or policy makers quickly understand the main subjects within large collections of Korean news articles and social media posts. You provide a dataset of Korean text, and it identifies distinct topics and extracts key keywords for each, helping you grasp public sentiment and legislative discourse. This tool is for anyone needing to efficiently summarize themes from extensive Korean text data.
No commits in the last 6 months.
Use this if you need to rapidly identify and summarize the core themes from a large volume of Korean news, social media, or other text documents.
Not ideal if your primary need is for in-depth, nuanced qualitative analysis of individual documents or if your data is not in Korean.
Stars
7
Forks
1
Language
Python
License
—
Category
Last pushed
Mar 18, 2025
Commits (30d)
0
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