Manta: Multi-lingual advanced NMF-based topic analysis

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.