Due to the increasing use of information technologies by biomedical experts, researchers,
public health agencies, and healthcare professionals, a large number of scientific literatures …

Climate change, biodiversity loss, soil degradation, water scarcity, and food insecurity are
just a few of the issues threatening India's food system's sustainability. We require a more …

In the dynamic landscape of online knowledge exchange, platforms such as Quora have
become vital arenas for diverse discussions and information dissemination. However …

Deep learning approaches have become popular in many different areas, including
sentiment analysis (SA), because of their competitive performance. However, the downside …

Text classification is an essential task in the domain of natural language processing (NLP),
which involves assigning a sentence or document to an appropriate category. This paper …

Deep learning approaches have become popular in sentiment analysis because of their
competitive performance. The downside of this approach is that they do not provide …

Managing large volumes of business news data is important for companies. However,
identifying relevant data can be challenging due to the dynamic nature of business …

Spelling correction is a remarkable challenge in the field of natural language processing.
The objective of spelling correction tasks is to recognize and rectify spelling errors …

Deep learning-based Natural Language Processing (NLP) has advanced significantly over
the past decades, in light of static learning's remarkable performance across a range of text …

The increasing volume of text data has made it difficult for individuals to keep up with the
information. Text summarization and classification are two important natural language …