Cosine similarity is one of the most popular distance measures in text classification
problems. In this paper, we used this important measure to investigate the performance of …

Today in the era of Big Data, textual data is rapidly growing and is available in many
different languages. In the fast-moving world, it's difficult to read all the text-content. Hence …

The last few years of Data Science definitely show the upward trend in growth of popularity,
different industries which are effectively relating with data science & the transformation of …

The Vector Space Model (VSM) is a common document representation model that is widely
used in data mining and information retrieval (IR) systems. However, this technique poses …

The Vector Space Model (VSM) is widely used in data mining and Information Retrieval (IR)
systems as a common document representation model. However, there are some …

Recently, the need has increased for an effective and powerful tool to automatically
summarize text. For English and European languages an intensive works have been done …

In recent years, weighted data is appearing more and more frequent in many applications,
but the existence of anomalies decreases the accuracy of data-based operations, thus, it is …

This paper presents an intelligent tool to summarize Arabic articles and translate the
summary to Arabic sign language based on avatar technology. This tool was designed for …

Recently, one of the problems arisen due to the amount of information and it's availability on
the web, is the increased need for effective and powerful tool to automatically summarize …

This paper presents a novel approach for automatic Arabic text clustering. The proposed
method combines two well-known information retrieval techniques that are latent semantic …