Tsundoku: A Python']Python toolkit for social network analysis

被引：0
|
作者：
Graells-Garrido, Eduardo [1 ,2 ]
Garcia, Nicolas [1 ,2 ]
Carvallo, Andres [2 ]
机构：
[1] Univ Chile, Dept Comp Sci, Santiago, Chile
[2] Natl Ctr Artificial Intelligence CENIA, Santiago, Chile
来源：
SOFTWAREX | 2025年 / 29卷
关键词：
Social network analysis; Micro-blogging platforms; Active learning; Text mining; Data visualization;
D O I：
10.1016/j.softx.2024.102008
中图分类号：
TP31 [计算机软件];
学科分类号：
081202 ; 0835 ;
摘要：
Tsundoku is a Python toolkit for analyzing social media data, focusing on text and network analysis. It offers user classification, bot detection, community identification, and topic modeling, with an active learning component to improve model accuracy. Tsundoku generates detailed reports with visualizations, making it accessible to researchers across disciplines. By streamlining the analysis pipeline from data collection to insight generation, Tsundoku helps researchers tackle the challenges of large-scale social media data analysis.
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页数：6
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