Indexing of Arabic documents automatically based on lexical analysis

TL;DR

This paper presents an automated method for indexing Arabic documents using lexical analysis, leveraging text summarization to efficiently identify main topics, thereby replacing manual indexing and enhancing information retrieval.

Contribution

The paper introduces a novel automated indexing approach for Arabic texts based on lexical analysis and text summarization, improving accuracy and performance over manual methods.

Findings

Effective automatic indexing of Arabic documents achieved

Process reduces manual effort significantly

Improves retrieval efficiency in Arabic language applications

Abstract

The continuous information explosion through the Internet and all information sources makes it necessary to perform all information processing activities automatically in quick and reliable manners. In this paper, we proposed and implemented a method to automatically create and Index for books written in Arabic language. The process depends largely on text summarization and abstraction processes to collect main topics and statements in the book. The process is developed in terms of accuracy and performance and results showed that this process can effectively replace the effort of manually indexing books and document, a process that can be very useful in all information processing and retrieval applications.