Automatic Identification of Arabic Expressions Related to Future Events in Lebanon's Economy

In this paper, we propose a method to automatically identify future events in Lebanons economy from Arabic texts. Challenges are threefold first, we need to build a corpus of Arabic texts that covers Lebanons economy, second, we need to study how future events are expressed linguistically in these texts, and third, we need to automatically identify the relevant textual segments accordingly. We will validate this method on a constructed corpus form the web and show that it has very promising results. To do so, we will be using SLCSAS, a system for semantic analysis, based on the Contextual Explorer method, and AlKhalil Morpho Sys system for morpho-syntactic analysis.