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

TL;DR

pytopicgram is a Python library designed to facilitate data extraction and topic modeling from Telegram channels, enabling researchers to analyze message content, engagement, and information spread effectively.

Contribution

The paper introduces pytopicgram, a new library that simplifies collecting and analyzing Telegram messages for research purposes.

Findings

Effective message retrieval and organization

Enhanced understanding of content dissemination

Facilitates audience interaction analysis

Abstract

Telegram is a popular platform for public communication, generating large amounts of messages through its channels. pytopicgram is a Python library that helps researchers collect, organize, and analyze these Telegram messages. The library offers key features such as easy message retrieval, detailed channel information, engagement metrics, and topic identification using advanced modeling techniques. By simplifying data extraction and analysis, pytopicgram allows users to understand how content spreads and how audiences interact on Telegram. This paper describes the design, main features, and practical uses of \pytopicgram, showcasing its effectiveness for studying public conversations on Telegram.