In recent years, Natural Language Processing (NLP) and text analysis has been a topic of
great interest among researchers. The utilization of deep learning techniques such as LSTM …

Abstract Natural Language Processing (NLP) and especially natural language text analysis
have seen great advances in recent times. Usage of deep learning in text processing has …

The Marathi language is one of the prominent languages used in India. It is predominantly
spoken by the people of Maharashtra. Over the past decade, the usage of language on …

Huge amounts of text data are produced every day. Processing text data that accumulates
and grows exponentially every day requires the use of appropriate automation tools. Text …

Text classification is one of the most critical areas of research in the field of natural language
processing (NLP). Recently, most of the NLP tasks achieve remarkable performance by …

The advances in deep learning (DL) models have proven to achieve outstanding results in
text classification tasks. This success is due to DL models' potential to reach high accuracy …

Text classification plays a critical role in managing large volumes of electronically produced
texts. As the number of such texts increases, manual analysis becomes impractical …

As a well-known Natural Language Processing (NLP) task, text classification can be defined
as the process of categorizing documents depending on their content. In this process …

Abstract Recently Natural Language Processing (NLP) has excessive attention due to
increased data available online and needs processing. Nevertheless, the huge …

Text classification is a fundamental task in natural language processing (NLP) aimed at
categorizing text documents into predefined categories or labels. Leveraging artificial …