🌟 EmoSense: An Approach to Uncover The Roots of Complex Emotions 🌟
Welcome to EmoSense, where we unleashing the power of complex emotions 😄🎭
Are you ready to dive deep into the fascinating world of emotions? Join our extraordinary team of emotion enthusiasts as we embark on an exciting journey to uncover the roots of complex emotions. 🚀🔍
👥 Meet our Brilliant Team Members:
- 🧑🔬 Ashish Kumar - The Emotion Explorer
- 🧑💻 Karthik Rathod - The Emotion Analyzer
- 🧑🔬 Ravindra Manne - The Emotion Investigator
- 🧑💻 Swarnava Bhattacharjee - The Emotion Decoder
📚 The Quest for EmoSense: Our mission is to develop AURA-Text, an extraordinary model that possesses the remarkable ability to predict the Valence, Arousal, and Dominance (VAD) values of any given sentence. These three dimensions of emotions, capturing pleasure-displeasure, degree of arousal, and dominance-submissiveness, are the key to understanding the complex emotional landscape of any text. 🌈✨
💡 Why EmoSense Matters: By unraveling the emotions hidden within text, EmoSense opens up a world of possibilities. Imagine applications that can truly understand and empathize with your emotions, revolutionizing your digital experiences. Whether it's chatbots, virtual assistants, or sentiment analysis, EmoSense is here to elevate your interactions to a whole new level. 📱💬🤖
📈 The Journey Ahead: Our project will be validated using human intuition and the extensive EmoBank dataset. We're confident that our model will accurately capture the rich tapestry of emotions conveyed in text, providing insights and delighting users with its accuracy. 🎯✅
🪪 License: EmoBank and the Modified EmoBank dataset are licensed under the Creative Commons Attribution-ShareAlike 4.0 International (CC-BY-SA 4.0) license. You can find the details of this license here.
📚 References:
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Sven Buechel and Udo Hahn. 2017. EmoBank: Studying the Impact of Annotation Perspective and Representation Format on Dimensional Emotion Analysis. In EACL 2017 - Proceedings of the 15th Conference of the European Chapter of the Association for Computational Linguistics. Valencia, Spain, April 3-7, 2017. Volume 2, Short Papers, pages 578-585. Read more
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Sven Buechel and Udo Hahn. 2017. Readers vs. writers vs. texts: Coping with different perspectives of text understanding in emotion annotation. In LAW 2017 - Proceedings of the 11th Linguistic Annotation Workshop @ EACL 2017. Valencia, Spain, April 3, 2017, pages 1-12. Read more
Thank you for joining us on this thrilling emotional expedition
! Feel free to share your feedback, questions, or even your own emotional stories. Together, let's unlock the magic of emotions with EmoSense! ✨🔓😊