Graph Analysis and Relationship Extraction from Dark Tv Series

If you have watched the Dark series produced by Netflix,If you watched this series you may know understanding this series and the relationship between the characters could be a bit challenging :D. In this project, I scraped character's biographies and used NLP and Graph Analysis to determine the relationship between serial characters and their importance.

Project Overview :

1- Scraping character's biography

2- Extracting .text Files and Combine Them All Together

3- Extracting Relationships from Character's Biography

4- Extracting Characters Names and Edging Based on Their Relationships

5- Ploting Relationships Graph

• 🔴 Most Important

• 🟣 Semi Important

• 🟡 Moderate Important

• 🟢 Secondary characters

• 🔵 NPCs

6- Who Are The Top 10 Most Important Characters in Dark

7- Who Are The Top Top 10 Intermediarie Characters in Dark

8- Who Are The Top 10 Communicator in Dark

9- Detecting Communities Between the Characters

Libraries used in the project

• pandas
• matplotlib
• pyvis
• spacy
• community
• selenium
• networkx