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Resolve DoclingParser exports, fix Windows progress encoding, and update finance cookbook #138
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"source": [
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"[](https://colab.research.google.com/github/Hawksight-AI/semantica/blob/main/cookbook/use_cases/finance/03_Earnings_Call_Analysis.ipynb)\n",
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"\n",
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"# Earnings Call Transcript Analysis with Docling and Semantica\n",
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"# Earnings Call Analysis with Docling and Semantica: MDA Space Q3 2025\n",
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"\n",
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"## 📄 Earnings Call Transcript PDF\n",
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"## Data Sources\n",
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"\n",
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"**Example:** Download a single earnings call transcript PDF from [SEC EDGAR](https://www.sec.gov/edgar/searchedgar/companysearch.html) or company investor relations pages. Use one PDF file for this analysis.\n",
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"This analysis dual-tracks two critical documents from **MDA Space Ltd.** for the third quarter of 2025 to provide a holistic view of the company's performance and strategy:\n",
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"1. **Press Release:** A structured summary of financial results, strategic milestones, and executive commentary.\n",
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"2. **Earnings Transcript:** A detailed record of the management presentation and the subsequent Q&A session with analysts, providing deeper qualitative context.\n",
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"\n",
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"### Q3 2025 Strategic Highlights\n",
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"* **Robust Backlog:** The company maintained a significant backlog at quarter-end, providing strong revenue visibility and supporting long-term growth objectives.\n",
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"* **Strong Revenue Growth:** Substantial year-over-year revenue expansion driven by successful execution across major programs and satellite system deliveries.\n",
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"* **Profitability & Margins:** Strong operational performance led to a significant increase in Adjusted EBITDA and healthy overall margin expansion.\n",
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"* **Earnings Performance:** Noteworthy growth in adjusted net income and earnings per share, reflecting scaled operations and improved bottom-line efficiency.\n",
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"* **Cash Flow & Capital Structure:** Positive operating cash flow and a healthy balance sheet with a very low leverage ratio, positioning the company well for future investment.\n",
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"\n",
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"---\n",
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"\n",
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"## Overview\n",
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"\n",
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"Extract insights from earnings call transcripts by building a knowledge graph with entity extraction, relationship mapping, and GraphRAG-powered Q&A.\n",
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"This notebook demonstrates how to extract deep insights from unstructured financial documents. By combining **Docling** for high-fidelity parsing with **Semantica** for knowledge engineering, we build a structured semantic layer that enables complex analysis and advanced GraphRAG capabilities.\n",
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"\n",
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"**Workflow:** `PDF → Parse → Extract Entities/Relations → Build KG → GraphRAG → Answers`\n"
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"**Workflow:** `Dual PDF Input → Docling Parsing → Entity & Relation Extraction → Knowledge Graph Construction → GraphRAG → Strategic Q&A`"
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]
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},
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{
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