[WWW 2022] Topic Discovery via Latent Space Clustering of Pretrained Language Model Representations

This repository contains the Domain Discovery Tool (DDT) project. DDT is an interactive system that helps users explore and better understand a domain (or topic) as it is represented on the Web.

Seed-Guided Topic Discovery with Out-of-Vocabulary Seeds (NAACL'22)

Domain Discovery Operations API formalizes the human domain discovery process by defining a set of operations that capture the essential tasks that lead to domain discovery on the Web as we have discovered in interacting with the Subject Matter Experts (SME)s.

A repository for "The Latent Semantic Space and Corresponding Brain Regions of the Functional Neuroimaging Literature" -- http://www.biorxiv.org/content/early/2017/07/20/157826

Applying unsupervised learning using K-means clustering.

News topic discovery using LDA (Latent Dirichlet Allocation)

2º trabalho prático da disciplina de Banco de Dados 2017 - UFSJ

Automated topic discovery crawler

UG4 Project