pytopicgram助力研究者高效提取分析电报频道内容与话题
pytopicgram: A library for data extraction and topic modeling from Telegram channels
- 基于Python的工具库，支持电报频道消息自动抓取与整理
- 可获取频道信息、互动数据并识别核心话题分布
- 适合社会计算、舆情分析等领域的研究人员使用
Telegram 是一个广泛用于公共交流的平台，其频道产生了大量消息。pytopicgram 是一个 Python 库，帮助研究者收集、组织和分析这些电报频道消息。该库提供关键功能，包括便捷的消息获取、详细的频道信息、互动指标以及使用先进建模技术进行的话题识别。通过简化数据提取与分析流程，pytopicgram 使用户能够理解内容传播方式及受众互动模式。本文介绍了 exttt{pytopicgram} 的设计思路、主要功能及其实际应用场景，展示了其在研究 Telegram 公共对话中的有效性。
原文摘要 · Abstract (English)
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.
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