Manta: Multi-lingual advanced NMF-based topic analysis

IF 2.4 4区计算机科学 Q2 COMPUTER SCIENCE, SOFTWARE ENGINEERING

SoftwareX Pub Date : 2025-10-03 DOI:10.1016/j.softx.2025.102386

Emir Karayağız , Tolga Berber

引用次数: 0

Abstract

This paper presents MANTA (Multi-lingual Advanced NMF-based Topic Analysis), a novel open-source Python library that provides an integrated pipeline to address key limitations in existing topic modeling workflows. MANTA provides an integrated, easy-to-use pipeline for Non-negative Matrix Factorization (NMF) based topic analysis, uniquely combining corpus-specific subword tokenization (BPE/WordPiece) with advanced term weighting schemes (SMART, BM25) and flexible NMF solver options, including a high-performance Projective NMF method. It offers native support for both English and morphologically complex languages like Turkish. With a simple one-function interface and a command-line utility, MANTA lowers the technical barrier for sophisticated topic analysis, making it a powerful tool for researchers in computational social science and digital humanities.

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Manta：基于nmf的多语言高级主题分析

本文介绍了MANTA（多语言高级基于nmf的主题分析），这是一个新颖的开源Python库，它提供了一个集成的管道来解决现有主题建模工作流中的关键限制。MANTA为基于非负矩阵分解（NMF）的主题分析提供了一个集成的，易于使用的管道，独特地将语料库特定子词标记化（BPE/WordPiece）与先进的术语加权方案（SMART, BM25）和灵活的NMF求解器选项相结合，包括高性能的投影NMF方法。它为英语和语法复杂的语言（如土耳其语）提供原生支持。凭借简单的单功能界面和命令行实用程序，MANTA降低了复杂主题分析的技术障碍，使其成为计算社会科学和数字人文科学研究人员的强大工具。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

SoftwareX COMPUTER SCIENCE, SOFTWARE ENGINEERING-

CiteScore

5.50

自引率

2.90%

发文量

184

审稿时长

9 weeks

期刊介绍： SoftwareX aims to acknowledge the impact of software on today''s research practice, and on new scientific discoveries in almost all research domains. SoftwareX also aims to stress the importance of the software developers who are, in part, responsible for this impact. To this end, SoftwareX aims to support publication of research software in such a way that: The software is given a stamp of scientific relevance, and provided with a peer-reviewed recognition of scientific impact; The software developers are given the credits they deserve; The software is citable, allowing traditional metrics of scientific excellence to apply; The academic career paths of software developers are supported rather than hindered; The software is publicly available for inspection, validation, and re-use. Above all, SoftwareX aims to inform researchers about software applications, tools and libraries with a (proven) potential to impact the process of scientific discovery in various domains. The journal is multidisciplinary and accepts submissions from within and across subject domains such as those represented within the broad thematic areas below: Mathematical and Physical Sciences; Environmental Sciences; Medical and Biological Sciences; Humanities, Arts and Social Sciences. Originating from these broad thematic areas, the journal also welcomes submissions of software that works in cross cutting thematic areas, such as citizen science, cybersecurity, digital economy, energy, global resource stewardship, health and wellbeing, etcetera. SoftwareX specifically aims to accept submissions representing domain-independent software that may impact more than one research domain.