Open-source AI paper index and fine-grained topic atlas across major conferences and journals.

HDBSCAN Tuning for BERTopic Models

LLM-adaptive embeddings (Zero-shot / LoRA) with Generative Topic Modeling & Agent-based workflow for social science text mining

Project scripts for network analysis of topics discovered by Math Research Compass

An interactive dashboard for exploring mathematical research trends on arXiv

Topic modelling and analysis of different UK newspapers, primarily using BERTopic

Build interactive topic modeling pipelines.

Portable end-to-end skill pack for Web of Science bibliometric processing, topic modeling, mobility analysis, visualization, and deep-report generation.

This repository contains the code, intermediate results, and analysis materials for the study: Cross-Context Topic Evolution and Sentiment Dynamics of AI Discourse on Weibo and Twitter.

Fast, all-purpose topic modeling for Python: 20+ models (LDA, STM, CTM, DMR, keyATM, BERTopic, ETM, ...) behind one NumPy-native interface on a parallel Rust core, with shared diagnostics and reproducible fits.

Kaggle Gold Medal (13th Place) Submission to Google's LLM Prompt Recovery Challenge

This projects contains a nlp pipeline for topic labelling with BERTopic

Text Mining Orkut’s Community Data with Python: Cultural Memory, Platform Neglect, and Digital Amnesia

Sistema inteligente para análisis, clasificación y búsqueda semántica de documentos jurídicos. Utiliza técnicas avanzadas de NLP, clustering y modelos de lenguaje (LLM) para ayudar a profesionales del derecho a encontrar precedentes, analizar jurisprudencia y redactar documentos.

Topic Modeling from Sentiment using BERTopic, Streamlit, and Snowflake

BoardTopic is a friendly way to understand your big data. BoardTopic uses state-of-the-art frameworks for topic modeling (BERTopic) and language models to help you analyze and makes sense of your data, no coding required.

NLP-powered analysis of 6K romance novel reviews: Uses BERTopic to extract key reader-centered themes (e.g., HEA, agency, toxicity) and statistically model their impact on book ratings.

A modular, automated Python pipeline to extract insights from policy documents using NLP and LLM techniques. The goal of the project is to provide policymakers, researchers, and institutions with comprehensive insights into how different organizations are managing and regulating the use of Generative AI.

Online BERTopic with Human-in-the-Loop for Customer Support Insights

Multilingual employee engagement survey analysis using Claude AI, BERTopic & Streamlit