Word embeddings are fundamentally a form of word representation that links the human
understanding of knowledge meaningfully to the understanding of a machine. The …

Automatic text classification is the task of organizing documents into pre-determined classes,
generally using machine learning algorithms. Generally speaking, it is one of the most …

In 2019 there was an outbreak of coronavirus pandemic also known as COVID-19. Many
scientists believe that the pandemic originated from Wuhan, China, before spreading to …

Topic extraction is an essential task in bibliometric data analysis, data mining and
knowledge discovery, which seeks to identify significant topics from text collections. The …

The lack of knowledge about the COVID-19 pandemic has encouraged extensive research
in the academic sphere, reflected in the exponentially growing scientific literature. While the …

Social Media are sensors in the real world that can be used to measure the pulse of
societies. However, the massive and unfiltered feed of messages posted in social media is a …

Urban land use information plays an essential role in a wide variety of urban planning and
environmental monitoring processes. During the past few decades, with the rapid …

One of the challenging tasks in text classification is to reduce the dimensional feature space.
This paper discusses an enhanced text classification method using Bag-of-Words …

Urban land use information plays an important role in urban management, government
policy-making, and population activity monitoring. However, the accurate classification of …

The correct classification of requirements has become an essential task within software
engineering. This study shows a comparison among the text feature extraction techniques …