Experimenting with Arabic text visualizing

The amount of unstructured textual data on the Internet has been increased dramatically. Text visualization becomes a significant tool that facilitates knowledge discovery and insightful presentation of large amounts of data. In this paper we present a technique of the visual exploration of Arabic text documents. We apply Latent Semantic Indexing (LSI) as a dimensionality reduction technique that helps in extracting some knowledge from text documents. We present an Arabic Visualization System. The experiments were carried on several datasets extracted from an Arabic corpus. The system can create views from different perspectives based on the user´s needs. It is successfully used for visualizing different kinds of document corpora. The system is very helpful for data analysis offering quick insight into the structure of the visualized corpus.