Understanding Trends in Company Valuation with NLP

• Understanding Trends in Company Valuation with NLP
  • Introduction
    • Orchestrating company earnings trend analysis, using SEC filings, news sentiment with the Hugging Face transformers, and Amazon SageMaker Pipelines
    • Using SageMaker Pipelines
    • Understanding trends in company valuation (or similar) with NLP
    • SEC Dataset
    • News articles related to the stock symbol – dataset
  • MLOps for NLP using SageMaker Pipelines
  • Create a Custom Container
    • 1. Grant appropriate permissions to SageMaker
    • 2. Build a custom Docker image
  • Set Up SageMaker Project
    • Install and import packages
    • Define parameters that you’ll use throughout the notebook
    • Define parameters to parametrize Pipeline Execution
  • Preparing SEC dataset
    • Install the SageMaker JumpStart Industry SDK
    • Obtain SEC data using the SageMaker JumpStart Industry SDK
  • Set Up Your MLOps NLP Pipeline with SageMaker Pipelines
    • Step 1: Data pre-processing - extract SEC data and news about the company
    • Step 2: Create models for summarization and sentiment analysis
    • Step 3: Register model
    • Step 4: Deploy model
    • Step 5: Summarize SEC report step
    • Step 6: Sentiment inference step - SEC summary and news articles
  • View Evaluation Results
  • Clean up
  • Notebook CI Test Results