Investment Analysis with Natural Language Processing NLP

About this course

Say hello to Sentiment Based Investment Analysis done right. Leverage the power of Natural Language Processing (NLP) techniques to exploit Sentiment for Financial Analysis / Investment Analysis (with Python), while rigorously validating your hypothesis.Explore the power of text data for conducting financial analysis / investment analysis rigorously, using hypothesis driven approaches that are rigorously grounded in the academic and practitioner literature. All while leveraging the power of Python.Discover what Natural Language Processing (NLP) is, and how it's applied in Finance, using Python for Finance.Master the systematic 5 Step Process for Sentiment Analysis while working with a large sample of messy real world data obtained from credible sources, for free.# =============================# 2 PARTS, 9 SECTIONS TO MASTERY # =============================(plus, all future updates included!)PART I: INVESTMENT ANALYSIS FUNDAMENTALSStart by gaining a solid command of the core fundamentals that drive the entire investment analysis / financial analysis process.Explore Investment Security Relationships & Estimate ReturnsDiscover powerful relationships between Price, Risk, and ReturnsIntuitively explore the baseline fundamental law of Financial Analysis - The Law of One Price.Learn what "Shorting" a stock actually means and how it worksLearn how to calculate stock returns and portfolio returns from scratchWork with real-world data on Python and know exactly what your code does and why it worksEstimate Expected Returns of Financial SecuritiesExplore what "expected returns" a

Course objectives

• Master the systematic process for sentiment analysis
• Gain hands-on experience with real financial data
• Develop a hypothesis-driven approach to investment analysis