Automatic Identification of Arabic expressions related to future events in Lebanon's economy

TL;DR

This paper presents a method to automatically identify future economic events in Lebanon from Arabic texts, addressing linguistic and corpus-building challenges, and validating the approach with promising results.

Contribution

It introduces a novel approach combining semantic and morpho-syntactic analysis to detect future economic events in Arabic texts about Lebanon.

Findings

High accuracy in identifying future economic events

Effective use of semantic and morpho-syntactic analysis tools

Promising validation results on web-derived corpus

Abstract

In this paper, we propose a method to automatically identify future events in Lebanon's economy from Arabic texts. Challenges are threefold: first, we need to build a corpus of Arabic texts that covers Lebanon's 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.