Sentiment Analysis Using Python

Mayank Rasu, Experienced Quant Researcher

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14 Lessons (2h 20m)
    • 1. Why Sentiment Analysis

      6:00
    • 2. Sentiment Analysis - Intuition

      8:09
    • 3. Natural Language Processing Basics

      17:16
    • 4. Lexicon Based Sentiment Analysis

      6:36
    • 5. VADER Introduction

      11:35
    • 6. Textblob Introduction

      7:41
    • 7. Building a Sentiment Analyzer using VADER - Part I

      10:35
    • 8. Building a Sentiment Analyzer using VADER - Part II

      18:21
    • 9. Machine Learning Based Sentiment Analysis

      12:24
    • 10. ML Feature Matrix & TF-IDF Introduction

      9:50
    • 11. Building a ML Based Sentiment Analyzer - Part I

      3:16
    • 12. Building a ML Based Sentiment Analyzer - Part II

      16:59
    • 13. Building a ML Based Sentiment Analyzer - Part III

      6:31
    • 14. Sentiment Analysis Application - Opportunities & Challenges

      4:56

Project Description

All python codes and links discussed in the lecture videos could be found in the zip file titled "python_scripts_and_links.zip".

Using your knowledge of web scraping (use attached python script as reference) extract the reviews of the movie Joker from the linkĀ https://www.imdb.com/title/tt7286456/reviews?ref_=tt_urv.

Using Vader Library, analyze the sentiment of the first 100 reviews. Compare the performance of your sentiment analysis with the actual review.

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