Discovers "invisible threads" - non-obvious insights that connect across 300+ podcast episodes or a collection of essays using LLM extraction and graph-based clustering. Extract insights, find connections, discover patterns.

🔷 Data Cleaning and Insight Generation from Survey Data 🔷 Cleaned and preprocessed Kaggle’s Data Science Survey data, handling missing values, duplicates, and categorical responses. Applied label encoding and normalization to prepare the dataset for analysis. Built 12+ visualizations (pie, scatter, box, line, heatmap, etc.)

This repository provides the official implementation for the EMNLP 2025 Findings paper: KAHAN: Knowledge-Augmented Hierarchical Analysis and Narration for Financial Data Narration

A structured insight extraction engine that turns papers and technical documents into claims, assumptions, limitations, problem candidates, insights, and open questions. - 論文・技術資料から課題候補と気づきを構造化抽出する Insight Agent コア

A new package designed to analyze and structure user-submitted text, specifically focusing on community feedback and moderation. The package leverages the capabilities of llmatch-messages to process a

A new package that helps extract and structure insights from discussions about AI system design challenges. Users can input text from forums, articles, or discussions, and the package will use llmatch

A new package that leverages pattern matching with language models to generate structured summaries or insights from user-submitted texts about topics like train maps or other transportation issues. I

Transform meeting recordings into actionable insight assets · 12种分析方法，将会议录音转化为可驱动决策的洞察资产

A multi-layer orchestration foundation for R&D agents, connecting research, insight extraction, experiment gating, roadmap design, state management, and external sync into a single execution loop. - 探索・洞察・評価・計画・状態管理をつなぐ、R&Dエージェント向けオーケストレーション基盤。

🚀 Generate clear summaries and insights from transportation texts using pattern matching with language models in this easy-to-use Python package.