Network of The Witcher | Relationship Extraction & Network Analysis with Spacy & NetworkX

From the creator

🌟 Master Python and Build Awesome AI Projects πŸ‘‰ https://python-course-earlybird.framer.website/?&utm_source=witchnet πŸ”₯ Receive top data science/ AI insights in your inbox πŸ‘‰ https://thu-vu.ck.page/49c5ee08f6 ----------------- πŸ”‘ GitHub repo for this project: https://github.com/thu-vu92/the_witcher_network πŸ“Ή First episode of this series: https://youtu.be/RuNolAh_4bU πŸ™‡β€β™€οΈ Graph Analytics for Big Data(Coursera): https://imp.i384100.net/oeWP1O ----------------- Hey data nerds πŸ‘‹, in this video we made an attempt to extract relationships between The Witcher's characters from the books. We also did some graph analyses (centrality measures and community detection) and visualization using NetworkX and Pyvis. The analyses are still quite preliminary and I might have glossed over some details, but hopefully, this is a bit interesting and you learned something from it πŸ€“. This is the second project in the Witcher project series where we will analyze the relationships between characters. The next episode of this series will be all about network graph visualization 😁. I hope you enjoyed this video and any questions and thoughts are welcome! Thank you for watching πŸ™ŒπŸ½ πŸ‘©πŸ»β€πŸ’» COURSES & RESOURCES β–€β–€β–€β–€β–€β–€β–€β–€β–€β–€β–€β–€β–€β–€β–€β–€β–€β–€β–€β–€β–€β–€β–€β–€β–€β–€ πŸ“– Google Advanced Data Analytics Certificate πŸ‘‰ https://imp.i384100.net/anK9zZ πŸ“– Google Data Analytics Certificate πŸ‘‰ https://imp.i384100.net/15v9y6 πŸ“– Learn SQL Basics for Data Science Specialization πŸ‘‰ https://imp.i384100.net/AovPnJ πŸ“– Excel Skills for Business πŸ‘‰ https://coursera.pxf.io/doPaoy πŸ“– Machine Learning Specialization πŸ‘‰ https://imp.i384100.net/RyjykN πŸ“– Data Visualization with Tableau Specialization πŸ‘‰https://imp.i384100.net/n15XWR πŸ“– Deep Learning Specialization πŸ‘‰ https://imp.i384100.net/zavBA0 πŸ“– Mathematics for Machine Learning and Data Science Specialization πŸ‘‰ https://imp.i384100.net/LXK0gj πŸ“– Applied Data Science with Python πŸ‘‰ https://imp.i384100.net/gbxOqv πŸ™‹πŸ»β€β™€οΈ LET'S CONNECT! β–€β–€β–€β–€β–€β–€β–€β–€β–€β–€β–€β–€β–€β–€β–€β–€β–€β–€β–€β–€β–€β–€β–€β–€β–€β–€ πŸ€“ Join my Discord server: https://discord.gg/SK7ZC5XhcS πŸ“© Newsletter: https://thu-vu.ck.page/profile ✍ Medium: https://medium.com/@vuthihienthu.ueb πŸ”— All links: https://linktr.ee/thuvuanalytics πŸ”‘ TIMESTAMPS ================================ 0:00 - Intro & objectives 0:47 - Installing packages & project setup 2:07 - Plan for the project 🧭 3:34 - Get data & process data 5:13 - Read in character names 7:06 - Get character list per sentence 9:47 - Create relationship df 14:22 - Network graph visualization & analysis 18:40 - Centrality measures 20:26 - Community detection 21:54 - Characters' importance over time 25:25 - Where to learn graph analytics 26:18 - Some announcement πŸ˜‰ ================================ As a member of the Amazon and Coursera Affiliate Programs, I earn a commission from qualifying purchases on some of the links above. It costs you nothing but helps me with content creation. #networkanalysis #Datanerd #DataAnalysis #datascience #ThuVu #dataanalytics

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