한국 현대문학 박사학위 논문 서지 데이터 분석
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Updated
Apr 18, 2024 - Jupyter Notebook
한국 현대문학 박사학위 논문 서지 데이터 분석
Topic modeling for NYT articles.
Automatically extract skills from HTML job ads to understand their relevance over time. Uses Python, translation, NLP, topic modeling and dynamic topic modeling. Three parts: Translation & Preprocessing, Skill Section Extraction, Skill Analysis.
Aligned Neural Topic Model (ANTM) for Exploring Evolving Topics: a dynamic neural topic model that uses document embeddings (data2vec) to compute clusters of semantically similar documents at different periods, and aligns document clusters to represent topic evolution.
2nd place at ACDH virtual Open Data hackathon series 2019: International Open Data Day
✨ Awesome - A curated list of amazing Topic Models (implementations, libraries, and resources)
Scripts for the MA research about Brazil’s parliamentary discourses dynamics on the Amazon rainforest.
Implementation of the Multilingual Dynamic Topic Model as presented in our paper
This package consists of functionalities for dynamic topic modelling and its visualization
The aim of this project is to use the text from biomedical and life science literature to gain insights on research topic trends over time.
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To associate your repository with the dynamic-topic-modeling topic, visit your repo's landing page and select "manage topics."