write a 30 slide master's thesis definse (seminar)presentation on my proposal, "A Multi-Modal NLP Pipeline for Financial Decision-Making in the Egyptian Market."pen by explaining foundational concepts in full — what NLP is, why it matters in finance, what sentiment analysis is and how it helps stock prediction, and what a multi-modal framework is — before narrowing into mybefore narrowing into my specific research. Then follow my proposal's own structure exactly: Introduction, Problem Statement, Related Work (including the two pipeline architectures from Khalil 2025 and Chen & Kawashima 2025, rebuilt as native flow diagrams)Arabic/Saudi financial NLP evidence, Arabic dialectal challenges, the Research Gap table, Research Objectives, Dataset Description (collection, scale/composition, labelling), the proposed pipeline architecture, evaluation plan, and expected outcomes. Close with a contribution summary and Q&A. Use the attached literature review and proposal as the source materiall — every claim, statistic, and citation should come from those documents, not be invented.
write a 30 slide master's thesis definse (seminar)presentation on my proposal, "A Multi-Modal NLP Pipeline for Financial Decision-Making in the Egyptian Market."pen by explaining foundational concepts in full — what NLP is, why it matters in finance, what sentiment analysis is and how it helps stock prediction, and what a multi-modal framework is — before narrowing into mybefore narrowing into my specific research. Then follow my proposal's own structure exactly: Introduction, Problem Statement, Related Work (including the two pipeline architectures from Khalil 2025 and Chen & Kawashima 2025, rebuilt as native flow diagrams)Arabic/Saudi financial NLP evidence, Arabic dialectal challenges, the Research Gap table, Research Objectives, Dataset Description (collection, scale/composition, labelling), the proposed pipeline architecture, evaluation plan, and expected outcomes. Close with a contribution summary and Q&A. Use the attached literature review and proposal as the source materiall — every claim, statistic, and citation should come from those documents, not be invented.
Created using ChatSlide
A literature-focused research proposal examining multi-modal stock forecasting for the Egyptian market. It establishes NLP and sentiment-analysis foundations, reviews hybrid text–market fusion architectures, and identifies challenges in Egyptian Arabic dialect processing. The study proposes a two-stream dataset of news and social-media content, labelled through multi-LLM consensus, and an AraBERT-based pipeline integrating sentiment with EGX quantitative features. Drawing on existing...