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Register a new userGEPSA, a tool for monitoring social challenges in digital press
Gepsa، أداة لرصد التحديات الاجتماعية في الصحافة الرقمية
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تقدم هذه الأوراق منصة لرصد روايات الصحافة فيما يتعلق بالعديد من التحديات الاجتماعية، بما في ذلك المساواة بين الجنسين والهجرة ولغات الأقليات.مع ترميز الروايات بلغة طبيعية، يتعين علينا استخدام تقنيات المعالجة الطبيعية لأتمتة تحليلها.وبالتالي، تتم معالجة الأخبار الزحفة عن طريق العديد من وحدات NLP، بما في ذلك التعرف على الكيان المسمى، واستخراج الكلمات الرئيسية، تصنيف المستندات للكشف عن التحدي الاجتماعي، وتحليل المعنويات.توفر واجهة قوية للقاطرات تصور البيانات للتحليل المستند إلى المستخدم للبيانات.تقدم هذه الورقة بنية النظام وتصف بالتفصيل مكوناتها المختلفة.يتم توفير التقييم للوحدات المتعلقة باستخراج ومعلومات المعلومات المتعلقة بالتحديات الاجتماعية.
This papers presents a platform for monitoring press narratives with respect to several social challenges, including gender equality, migrations and minority languages. As narratives are encoded in natural language, we have to use natural processing techniques to automate their analysis. Thus, crawled news are processed by means of several NLP modules, including named entity recognition, keyword extraction,document classification for social challenge detection, and sentiment analysis. A Flask powered interface provides data visualization for a user-based analysis of the data. This paper presents the architecture of the system and describes in detail its different components. Evaluation is provided for the modules related to extraction and classification of information regarding social challenges.
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