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☯️ Interactive text sentiment analysis with score and result.

Home Page: https://thomaserhel.github.io/ml5-sentiment

License: MIT License

HTML 34.85% JavaScript 65.15%
ml5js p5js sentiment-scores

ml5-sentiment's Introduction

Hi there, I'm Thomas! 👋

  • 🔭 I’m currently working on Mon Pro Web & BlockStay
  • 🌱 I’m currently learning Blockchain at Alchemy University (Final project)
  • 👯 I’m looking to collaborate on Ethereum
  • 📫 How to reach me: [email protected]
  • 👨‍🎓 Achievements: FreecodeCamp(FullStack Developer) 🕊, OpenclassRooms (Software development expert) 👨‍💻, Google (Automation with Python) 🐍, London App Brewery (Flutter development bootcamp with Dart) 🐦, I took CS50 🐥, Meta Front-End Developer ⚛️
  • ❤️‍🔥 WWF, Wikipédia, TED
  • 🎧 Music: lofi hip hop radio - beats to relax/study to
  • ⚡ Fun fact: React is not a framework

#ZeroKnowledge #PracticeMakesPerfect #NeverGiveUp #FreeUkraine #BlackLivesMatter

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