This paper proposes a method of linguistic classification based on the analysis of positive,
negative and neutral sentiments expressed within text written in Vietnamese and English. It …

Text classification is an important task which may help human reducing time and effort. This
work is aimed to propose an approach for text classification, especially for articles. The …

Document classification has become an important field of research due to the increase of
unstructured text documents available in digital form. It is considered one of the key …

In this paper, we conducted an experiment to build a classification model that combines
different techniques in most of the Natural Language Processing Tasks. We used the word …

Unmanned Ariel Vehicles (UAVs) have gained significant importance in diverse sectors.
Thus, a profound safety risk analysis/assessment to prevent any possible damage to …

Circulars are the primary mode of communication in an established hierarchy. The
Vishweshvaraya Technological University releases around 35–40 circulars every month …

Nowadays, we have seen the technology reaching new heights than ever before. Hence a
lot of good chances of employment have been created for a lot of people. But each and …

Topic classification is a crucial task where knowledge categories exist within hierarchical
information systems designed to facilitate knowledge search and discovery. An application …

In the last few years, deep learning has shown promising improvements in natural language
processing (NLP). LSTM, Bi-LSTM, and Convolutional Neural Networks (CNNs) are …

Document classification techniques are used to label textual unstructured data during
organization. The length of textual document, which can either be short or long, is vital to the …