Coconut Libtool：为非编程人员填补文本分析缺口
Coconut Libtool: Bridging Textual Analysis Gaps for Non-Programmers
AI总结：
针对非编程背景人群缺乏技能开展文本分析的问题，研究推出开源网页应用Coconut Libtool，集成多种前沿NLP技术支持多来源文本分析，助力提升相关领域研究的规范性与可及性。
摘要：
在数据海量且无处不在的时代，专业人士和学生都发现自己需要完成多项文本分析任务。以往，统计学专业知识和编程技能的普遍匮乏，使得许多有人文或社会科学背景的人无法开展此类分析并充分从中受益。为此，我们推出了Coconut Libtool（网址：www.coconut-libtool.com/），这是一款采用最先进自然语言处理（NLP）技术的开源网页端应用。Coconut Libtool可分析来自自定义文件以及Web of Science、Scopus、Lens等书目数据库的文本数据。用户可验证自己拥有的数据能支持哪些功能。Coconut Libtool在后端部署了多种NLP算法技术，包括主题建模（LDA、Biterm和BERTopic算法）、网络图可视化、关键词词形还原以及旭日图可视化。Coconut Libtool是一款以人为本的网页应用，面向信息科学、数字人文、计算社会科学领域的专业人士、研究人员和学生设计，旨在提升研究实践中的透明度、可复现性、可及性、互惠性与责任感。
英文摘要：
In the era of big and ubiquitous data, professionals and students alike are finding themselves needing to perform a number of textual analysis tasks. Historically, the general lack of statistical expertise and programming skills has stopped many with humanities or social sciences backgrounds from performing and fully benefiting from such analyses. Thus, we introduce Coconut Libtool (www.coconut-libtool.com/), an open-source, web-based application that utilizes state-of-the-art natural language processing (NLP) technologies. Coconut Libtool analyzes text data from customized files and bibliographic databases such as Web of Science, Scopus, and Lens. Users can verify which functions can be performed with the data they have. Coconut Libtool deploys multiple algorithmic NLP techniques at the backend, including topic modeling (LDA, Biterm, and BERTopic algorithms), network graph visualization, keyword lemmatization, and sunburst visualization. Coconut Libtool is the people-first web application designed to be used by professionals, researchers, and students in the information sciences, digital humanities, and computational social sciences domains to promote transparency, reproducibility, accessibility, reciprocity, and responsibility in research practices.
机构、总结、中文摘要均由AI分析而来，可能存在错误，请以论文正文为准。
