Published June 12, 2025 | Version v1.0.0
Software Open

gtucci/Telegram-Analytics: Initial public release

Authors/Creators

  • 1. ROR icon International Center for Tropical Agriculture
  • 2. ROR icon Instituto Brasileiro de Informação em Ciência e Tecnologia

Description

Telegram Analytics Project

An R-based toolkit for processing and analyzing Telegram message datasets. This project provides scripts and workflows to clean, process, and analyze Telegram message data from CSV and TSV formats, with structured CSV outputs.

Key Features:

  • Comprehensive data processing pipeline for Telegram messages
  • Automated report generation with analysis results
  • Optimized for TeleCatch exports but compatible with any Telegram message dataset
  • Reusable workflow design for multi-project applications
  • R scripts with standardized input/output formats

Analysis Capabilities:

  • Dataset preparation and cleaning
  • Temporal trends
  • Sentiment and emotion analysis
  • Popularity and virality metrics:
    • Channel influence
    • Forwarded sources
    • Mentions & Hashtags
  • Network analysis
    • Forwarding Network
    • Mentions Network
    • Channel-Hashtag Network
  • Topic modeling
  • Link sharing analysis

Notes

Telegram Analytics was developed by Giulia Tucci as part of the CGIAR FOCUS Climate Security Digital Methods team. The project was conducted with support from the CGIAR Science Programs. I would like to thank all funders who supported this research through their contributions to the CGIAR Trust Fund.

Files

gtucci/Telegram-Analytics-v1.0.0.zip

Files (231.8 kB)

Name Size Download all
md5:0d74082d501b53e2f2aa34744a95e77e
231.8 kB Preview Download

Additional details

Related works

Is supplement to
Software: https://github.com/gtucci/Telegram-Analytics/tree/v1.0.0 (URL)

Software

Repository URL
https://github.com/gtucci/Telegram-Analytics