Standard research on social media and its applications has been widely disseminated in
developed nations. But in Sri Lanka, research in this area has been released far less …

This paper provides a survey of semantic similarity of text documents. Semantic Similarity is
an important task in Natural Language Processing (NLP). It is widely used for information …

Purpose The aim of this study is to propose a deep neural network (DNN) method that uses
side information to improve clustering results for big datasets; also, the authors show that …

With the introduction of Industry 4.0 into our lives and the creation of smart factories,
predictive maintenance has become even more important. Predictive maintenance systems …

Websites are growing in number and size at an explosive rate. This has created an
enormous field of service competitors, which can cause a real challenge for information …

Due to environmental changes, including global warming, climatic changes, ecological
impact, and dangerous diseases like the Coronavirus epidemic. Since coronavirus is a …

Every day, web credibility is becoming an increasingly important. It affects how we interact
with information on the internet as well as the quality of those interactions. Web credibility …

With the current trend in extensive use of internet technologies, people are accustomed to a
life of being online. Similar phenomena apply for news awareness as well where social …

This paper delves into the critical task of measuring semantic similarity in text documents, a
fundamental need in today's data-rich landscape. Efficiently gauging semantic con-nections …

Web service credibility measurement techniques provide a professional and experiential
assessment of web services to the user community. Unfortunately, existing web service …