[WWW 2022] Topic Discovery via Latent Space Clustering of Pretrained Language Model Representations
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Updated
Feb 10, 2022 - Python
[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)
Curated AI-agent research, market analysis, product discovery, and Python CLI tools by AdvancingTitans.
Automated topic discovery crawler
AI research agent for trend discovery, public-source analysis, and Lark-ready Chinese briefs.
2º trabalho prático da disciplina de Banco de Dados 2017 - UFSJ
Wikipedia content structure visualization project
Installable research-agent skill for public-source hotspot discovery and professional long-form reports.
quora data extraction tool
Discover promising AI and developer video topics from GitHub, official releases, Hacker News, and Hugging Face—with explainable ranking, changes-only briefs, and YouTube evidence for coverage research.
Mirror repo for RS Lab Project Team 2 - WS25/26
Zero-config DDS command-line tool for topic discovery, real-time inspection, and MCAP recording — a ros2 topic/bag alternative with no ROS dependency. Built on CycloneDDS with XTypes introspection and iceoryx shared-memory support.
AI-powered YouTube audience intelligence using YouTube Data API, Jev, and Claude Sonnet for sentiment analysis, topic discovery, and comment insights.
Model Context Protocol (MCP) server for MQTT: safe, read-only, multi-broker access for AI agents - topic discovery, payload classification, diagnostics. Pre-release.
To associate your repository with the topic-discovery topic, visit your repo's landing page and select "manage topics."