专为网页级标注设计，提升网页分类效率
Tag-Pag: A Dedicated Tool for Systematic Web Page Annotations
- 通过直观界面实现网页整体标注，支持多主题标记
- 集成HTML内容提取与URL分析，辅助判断网页主题
- 支持爬取版与实时版网页切换，适合网络行为研究
Tag-Pag是一款专为简化网页分类而设计的应用程序，适用于研究者在分析个人浏览行为或训练机器学习分类器时对网页进行标注。与现有聚焦文本段落标注的工具不同，Tag-Pag系统化地支持页面级标注，允许用户判断整篇文档是否关联一个或多个预设主题。该工具提供直观的配置界面，集成HTML内容提取与URL特征分析功能，辅助标注过程。用户可直接访问已爬取和实时版本的网页，支持快速导航、标签分配及导出功能。其高效特性使其适用于多种研究场景。项目开源地址：https://github.com/Pantonius/TagPag。
原文摘要 · Abstract (English)
Tag-Pag is an application designed to simplify the categorization of web pages, a task increasingly common for researchers who scrape web pages to analyze individuals' browsing patterns or train machine learning classifiers. Unlike existing tools that focus on annotating sections of text, Tag-Pag systematizes page-level annotations, allowing users to determine whether an entire document relates to one or multiple predefined topics. Tag-Pag offers an intuitive interface to configure the input web pages and annotation labels. It integrates libraries to extract content from the HTML and URL indicators to aid the annotation process. It provides direct access to both scraped and live versions of the web page. Our tool is designed to expedite the annotation process with features like quick navigation, label assignment, and export functionality, making it a versatile and efficient tool for various research applications. Tag-Pag is available at https://github.com/Pantonius/TagPag.
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