🍵 Create and administrate validation tests for automated content analysis tools.

A rolling version of the Latent Dirichlet Allocation.

PsychTopics – A Shiny App for Exploring and Analyzing Research Topics in Psychology

A Jupyter notebook on implementation of Latent Semantic Analysis (A Topic Modelling Algorithm) in python.

Determine a Prototype from a number of runs of Latent Dirichlet Allocation.

This repository contains the code for the Transformer-Representation Neural Topic Model (TNTM) based on the paper "Probabilistic Topic Modelling with Transformer Representations" by Arik Reuter, Anton Thielmann, Christoph Weisser, Benjamin Säfken and Thomas Kneib

Sentiment on K-12 Learning during COVID-19

Practices and Tools of Open Science: Topic Modeling

A small showcase for topic modeling with the tmtoolkit Python package. I use a corpus of articles from the German online news website Spiegel Online (SPON) to create a topic model for before and during the COVID-19 pandemic.

Topic Modeling of NIPS Papers

This project showcases an end-to-end workflow for topic modeling and text analysis using a variety of machine learning and natural language processing techniques. The goal of this project is to extract meaningful topics from a collection of text documents, enabling insights, categorization, and understanding of the underlying themes in the data.

Topic model

Applied the LDA Algorithm on the data extracted from Wikivoyage page for each city.

Retrieving information and topic modelling on Covid-19 related news.

Implementation of Gibbs sampling. 1. Gamma-Poisson mixture model for topic modeling 2. Bernolli-Beta Mixture model

2021년 1학기 개인 프로젝트 : 민식이법 기사 데이터 분석

NLP projects for my internship at Greenhouse Group for the year 2021-2022.

Automatic story investigator of public perception on the mega urban infrastructure project

Exploring topic modeling techniques, sentiment analysis, and classification algorithms using the Kaggle dataset "Tripadvisor Reviews 2023"