Trust is a critical element when it comes to news articles, and an important problem is how to
ensure trust in the published information on news websites. First, this paper describes the …

Nowadays, the Web news article contents extraction is vital to provide news indexing and
searching services. Most of the traditional methods need to analyze the layout of news …

DARS is a decentralized article retrieval system designed to bring the community together
for parallel and distributed extraction of article content from the web. The system is …

This article is a review on news retrieval and mining research areas in recent years based
on a qualitative approach. It addresses news retrieval and mining in four main categories of …

The spread of information available in the World Wide Web, it appears that the pursuit of
quality data is effortless and simple but it has been a significant matter of concern. Various …

Society is producing more and more data with every year. The number of unique URLs
indexed by Google recently surpassed the one-trillion mark. To fully benefit from this surge …

In the rapidly evolving landscape of Natural Language Processing (NLP) applications, a
critical need arises for a versatile data creation pipeline capable of addressing the diverse …

With the growth of the Internet and related tools, there has been an exponential growth of
online resources. This tremendous growth has paradoxically made the task of finding …

Effectual information retrieval from collection of document available over the Web, such as
news articles, is a tedious task. The objective of this research work is to introduce an …

Web news has become an important information resource, and we can collect and analyze
Web news to acquire desired information. In this paper, an effective and efficient Web-based …