transforEmotion is an R package for multimodal sentiment and emotion analysis using transformer models. Recognizes emotions in text, images, and video. Includes dynamic exploratory graph analysis of emotion time series.

• Text, image, and video emotion recognition
• Zero-shot classification with transformer models
• Dynamic network analysis of emotion dynamics
• Open-source, cross-platform

GitHub, CRAN

YClient-Reddit is a fork of YSocial, modified for Reddit-like LLM agent social simulations.
YSocial builds a digital twin of an online social media platform using Large Language Models (LLMs).

Key Modifications for Reddit-Like Simulation

• Adapted agent prompts and interaction logic to mimic Reddit-style posting, commenting, and voting
• Modified data structures and simulation parameters to reflect Reddit's community and thread-based organization
• Adjusted recommender systems and feed generation to better align with Reddit's content discovery mechanisms
• Additional configuration options and scripts for Reddit-specific experiments

GitHub

Flask dashboard for inspecting YSocial agent-based simulations. Moderate content or users, run what-if scenarios, and track downstream effects.

• Browse threads, users, votes, and interactions
• Apply moderation and observe downstream effects
• Export subsets for analysis

GitHub

Helpers for accessing the Multi‑Platform Aggregated Dataset of Online Communities (MADOC).

• Python: pymadoc (PyPI)
• R: rMADOC

Code and data for analyzing facial emotional expressions of political leaders. Image annotation study and processing pipeline.

GitHub