Work

pytopicgram: A library for data extraction and topic modeling from Telegram channels

Year: 2024

Type: article

Abstract: Telegram has emerged as a critical platform for public communication, offering vast amounts of semi-structured data through its public channels. pytopicgram is a Python library designed to facilitate the extraction, processing, and categorization of Telegram channels’ messages, enabling researchers to analyze content efficiently. The tool supports fast, flexible message retrieval, extended channel data collection, engagement metrics calculation, and advanced topic modeling, offering valuable insights into content dissemination and audience interaction. This paper outlines the architecture, functionalities, and impact of pytopicgram providing practical use examples. The versatility of pytopicgram makes it a powerful solution for researchers and analysts investigating public discourse on Telegram.

Source: Zenodo (CERN European Organization for Nuclear Research)

DOI: 10.5281/zenodo.13863007

Authors: Gómez-Romero, Juan, Cantón-Correa, Javier, Pérez-Mercado, Rubén, Prados Abad, Francisco, Molina-Solana, Miguel, Fajardo, Waldo

Institution: Universidad de Granada

Language: English

Topic: Computational and Text Analysis Methods

Subfield: General Social Sciences

Field: Social Sciences

Domain: Social Sciences

Open Access status: green

Funders: Ministerio de Ciencia, Innovación y Universidades, Calouste Gulbenkian Foundation

Award: G829549247