تطبيقات نظم الذكاء الاصطناعي في تحليل المحتوى وعمليات التكشيف: دراسة تطبيقية لنظم معالجة اللغة الطبيعية

Abstract EN

Based on the development of Artificial Intelligence techniques, the most important of which is natural language processing which has a significant role in content analysis, this study aims at identifying the role of applying Artificial Intelligence systems in content analysis and indexing processes as well as identifying the uses of natural language processing in general and in libraries in particular.

Additionally, the study attempts to monitor Artificial Intelligence platforms and libraries that can be used in the field of content analysis, along with the application of one of the natural language processing systems and using it in content analysis for information resources to achieve benefit from them, by using the descriptive-analytical method.

Among the most important results of the study is the possibility of using natural language processing in libraries for obtaining resources, content processing, informing users of resources and answering inquiries.

After using the IBM Watson Knowledge Studio platform to create a machine learning model and testing it via the Watson Discovery tool, its high efficiency was proven in searching for and retrieving English language resources.

However, it needs further improvements for Arabic language resources.