The exponential growth of online textual data triggered the crucial need for an effective and
powerful tool that automatically provides the desired content in a summarized form while …

The increasing usage of the Internet and social networks has produced a significant amount
of online textual data. These online textual data led to information overload and redundancy …

Keyword extraction is an indispensable step for many natural language processing and
information retrieval applications such as; text summarization and search engine …

Keywords and Keyphrases are very important to capture the semantics contained in texts.
Their extraction is a topic of particular relevance to a great number of researchers. Keywords …

Automatic keyphrases extraction is to extract a set of phrases that are related to the main
topics discussed in a document. They have served in several areas of text mining such as …

Due to the large amount of Arabic text produced on a daily basis, there is a need to analyze
these texts. Following a comprehensive literature review, there become clear several issues …

Keywords or Keyphrases constitute a very important kind of concepts which can be extracted
from texts. They reflect the semantic contained in these texts and are useful in many tasks of …

In the past few decades, the automatic text summarization process has become an essential
area in research. The automatic text summarization process extracts the essential and the …

In this paper, we propose a graph-based approach to extract keywords from Arabic
documents. We represent the original text as a collocation graph, whose vertices represent …

This paper demonstrates a comparative study of Arabic Multi-Document Summarization
System (AMD-SS). These methods are compared and analyzed, aiming to detect which …