News is information disseminated by newspapers, radio, television, the internet, and other
media. According to the survey results, there are many news titles from various topics spread …

Accurate automatic classification of skin lesion images is a great challenge as the image
features are very close in these images. Convolution neural networks (CNN) promise to …

This article aims to propose a method for computing the similarity between lengthy texts on
intangible cultural heritage (ICH), to facilitate the swift and efficient acquisition of knowledge …

The key sentimental words in the text cannot be paid attention to effectively, and language
knowledge such as the text information and the sentimental resources are relied on …

Sentiment analysis on views and opinions expressed in Indian regional languages has
become the current focus of research. But, compared to a globally accepted language like …

Semantic Textual Similarity (STS) aims to assess the semantic similarity between two pieces
of text. As a challenging task in natural language processing, various approaches for STS in …

Semantic Textual Similarity is crucial for various end-user applications of Natural Language
Processing, including Search Engines, Chatbots, Machine Translation Systems, Plagiarism …

Measuring the semantic similarity of short Arabic texts is a challenging task due to the
distinct linguistic characteristics of Arabic and the scarcity of resources for natural Arabic …

In the past few years, COVID-19 has been consid-ered one of the most dangerous
pandemics in several countries. There is a lot of information circulating on social media …

In this paper, the proposed model aims to solve the issue of duplicate question pairs
identification in Quora which misleads to extra content retrieval on its platform. Quora is a …