Emotional Dialogue Acts corpus contains dialogue act labels for the multimodal conversational emotion datasets IEMOCAP and MELD. https://www.aclweb.org/anthology/2020.lrec-1.78/

Python library for extracting quantitative, reproducible metrics of multi-level alignment between speakers in naturalistic language corpora.

Rezonator: Dynamics of human engagement

command line interface (CLI) to analyze and export imessage conversations into .csv files containing messages, timestamps, and IDs 📲

This is my Masters thesis project titled "Speaker Detection and Conversation Analysis on Mobile Devices".

MER is a software that identifies and highlights manipulative communication in text from human conversations and AI-generated responses. MER benchmarks language models for manipulative expressions, fostering development of transparency and safety in AI. It also supports manipulation victims by detecting manipulative patterns in human communication.

Label dialogue with Dialogue Acts and Adjacency Pairs

Conversation Analysis Annotation Schema for Computational Modelling of Dialogue

This project leverages Langchain and Groq to analyze conversations between recovery agents and borrowers. The analysis includes summarization, key actions identification, sentiment analysis, named entity recognition (NER), and non-compliance checks.

Python package based on Gibson's framework (2003) for turn-taking in group conversation analysis.

ALIGN 2.0: Modern Python package for multi-level linguistic alignment analysis. Faster, streamlined, and feature-rich while maintaining full compatibility with the original ALIGN methodology (Duran, Paxton, & Fusaroli, 2019). Recommended for all new projects. Original version: https://github.com/nickduran/align-linguistic-alignment

This project utilizes the LangChain and Groq to perform various analyses on loan recovery conversations. The primary functionalities include summarizing conversations, identifying key actions or next steps, and undertaking sentiment analysis of both the recovery agent and the borrower.

MCP server for searching and analyzing Claude Code conversation history

A modular framework for building psychologically-informed AI assistants. Processes real-life conversations and generates therapeutic responses using vector databases for knowledge management and retrieval.

Stop re-teaching your AI. Turn past Claude Code sessions into persistent memory.

🔍 Extract and analyze your Claude Code conversation history to discover usage patterns, generate insights, and create custom slash commands from your prompting style.

ADR is a software that identifies and highlights agreements and disagreements in discussion forum messages as a response to the original post.

🧠 Automated AI conversation recording and knowledge management system with MCP integration for Claude Desktop, VSCode, and Cursor

Analysis of 89,000 ChatGPT conversations to understand interaction patterns and response behaviors.

Search, explore, and export your Claude.ai conversation history. Features AI-powered search, analytics dashboard, multiple export formats, and beautiful web interface.