The California Innocence Project (CIP), a clinical law school program aiming to free wrongfully convicted prisoners, evaluates thousands of mails containing new requests for assistance and corresponding case files. Processing interpreting this large amount information presents significant challenge CIP officials, which can be successfully aided by topic modeling techniques.In paper, we apply No...

Graph non-negative matrix factorization (GNMF) can discover the data’s intrinsic low-dimensional structure embedded in high-dimensional space. So, it has superior performance for data representation and clustering. Unfortunately, is sensitive to noise outliers. In this paper, improve robustness of GNMF, $$l_0$$ norm introduced enhance sparsity factorized matrices. As discontinuity minimizing a ...

Pemodelan topik merupakan teknik pembelajaran mesin yang digunakan untuk melihat dalam sekumpulan dokumen teks. Pada penelitian ini pemodelan adalah Non-Negative Matrix Factorization (NMF) dengan n-gram. Preprocessing seperti penghilangan tanda baca, angka dan stopword diimplementasikan pada ini. Proses dilakukan terlebih dahulu mengubah kata terdapat artikel menjadi berhuruf kecil. Penelitian ...