Nonlinear manifold learning is a popular dimension reduction method that determines large
and high dimensional datasets' structures. However, these nonlinear manifold learning …

Document classification is basically the process of categorizing documents in certain
categories correctly. This process, which is usually used in the field of text mining …

Аннотация В данной статье рассматривается актуальная задача классификации
документов с использованием методов машинного обучения в рамках предметной …

Natural Language Processing (NLP) is a prominent subject which includes various
subcategories such as text classification, error correction, machine translation, etc. Unlike …

Being one of the most linguistically rich languages, Azerbaijani has been researched less in
the context of natural language processing area. The text corpus created from Azerbaijani …

Over the last few years, machine learning and data mining methods (MLDM) are constantly
evolving, in order to accelerate the process of knowledge discovery from data (KDD) …

Nowadays, it is almost impossible to imagine our daily life without Internet. This strong
dependence requires an effective and rigorous consideration of all the risks related to …

Structuring medical text using international standards allows to improve interoperability and
quality of predictive modelling. Medical text classification task facilitates information …

Text classification is a process of locating text documents automatically into categories
based on the text content. In-text classification, there is a stage that has an important role in …

Text classification (TC) is an essential field in both text mining (TM) and natural language
processing (NLP). Humans have a tendency to organize and categorize everything as they …