This repository houses the code and model for a research project analysing Singapore's parliamentary debates using natural language processing (NLP) techniques. It focuses on topic modeling with BERTopic to uncover key themes within parliamentary debates.
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
PsychTopics – A Shiny App for Exploring and Analyzing Research Topics in Psychology
🍵 Create and administrate validation tests for automated content analysis tools.
We have performed a multi-class classification task of literary poems, which will be assigned to a period. Raw data has been collected from the web and processed the in order to apply Natural Language Processing and Machine Learning tools, such as feature extraction and selection, topic modeling, text preprocessing and classification
This repo offers a workflow dedicated to utilizing BERTopic for Semantic Graph-based information retrieval in nutrigenomics. It includes Jupyter notebooks on topic modeling and semantic graph creation, aimed at enhance genetic literature exploration. Ideal for genomic researchers, it simplifies the analysis of nutrition-related genetic information.
Implementation of Gibbs sampling. 1. Gamma-Poisson mixture model for topic modeling 2. Bernolli-Beta Mixture model
This project explored Twitter analytics, sentiment analysis, graph analytics, classification ML models, news API-based topic modeling, and text summarization.
NLP Techniques on comedy corpora
A repository for a Text Analytics project for movies classification.
Telegram bot based on the nytimes API for receiving news.
Automatic story investigator of public perception on the mega urban infrastructure project
Practices and Tools of Open Science: Topic Modeling
A rolling version of the Latent Dirichlet Allocation.
Using BERTopic to show the path of technological advancements in the different phases of the economic cycle (January 2005- January 2023).
Prediction of abnormal return of selected publically trading pharma companies using NLP techniques and tools; special focus on graph-based representation of transcripts of a conversation.
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