Project 21: Emotion Classification Using LSTM & Machine Learning
1.2 هزار بار بازدید -
4 ماه پیش
-
🎥 Emotion Detection using LSTM
🎥 Emotion Detection using LSTM and Machine Learning | Tutorial
Unlock the power of deep learning in emotional analysis with our comprehensive tutorial on Emotion Detection using Long Short-Term Memory (LSTM) networks and machine learning techniques! Dive into the world of natural language processing as we explore how to build a robust model capable of recognizing emotions from text data. Whether you're a beginner or an experienced data scientist, this video equips you with the knowledge and tools to develop your own emotion detection system.
🔗 Useful Links & Resources:
Python Libraries: TensorFlow, Keras, NLTK
Emotion Dataset Source: https://www.kaggle.com/datasets/prave...
Code Repository: https://github.com/Chando0185/emotion...
📢 Follow Us for More NLP & Deep Learning Tutorials!
- 👍 Facebook: Facebook: Knowledge-Doctor-Programming-114082097010409
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👉 Don't forget to LIKE, COMMENT, and SUBSCRIBE for more tutorials like this. Hit the BELL icon to stay updated on our latest videos!
💬 We'd Love to Hear Your Thoughts!
Got questions or feedback? Drop a comment below or reach out to us on social media. We're committed to supporting your learning journey and addressing any queries you may have.
📚 About This Tutorial:
This tutorial aims to empower viewers with practical skills in natural language processing and deep learning, focusing specifically on emotion detection using LSTM networks. By leveraging Python and popular deep learning libraries, we demonstrate how to preprocess text data, construct LSTM architectures, and train models for emotion recognition, offering insights into its real-world applications and ethical considerations.
Unlock the power of deep learning in emotional analysis with our comprehensive tutorial on Emotion Detection using Long Short-Term Memory (LSTM) networks and machine learning techniques! Dive into the world of natural language processing as we explore how to build a robust model capable of recognizing emotions from text data. Whether you're a beginner or an experienced data scientist, this video equips you with the knowledge and tools to develop your own emotion detection system.
🔗 Useful Links & Resources:
Python Libraries: TensorFlow, Keras, NLTK
Emotion Dataset Source: https://www.kaggle.com/datasets/prave...
Code Repository: https://github.com/Chando0185/emotion...
📢 Follow Us for More NLP & Deep Learning Tutorials!
- 👍 Facebook: Facebook: Knowledge-Doctor-Programming-114082097010409
- 🐦 Discord : Discord: discord
- 📸 Instagram: @knowledge_doctor.
- 💼 LinkedIn: LinkedIn: mishu-dhar-chando-8878a617b
👉 Don't forget to LIKE, COMMENT, and SUBSCRIBE for more tutorials like this. Hit the BELL icon to stay updated on our latest videos!
💬 We'd Love to Hear Your Thoughts!
Got questions or feedback? Drop a comment below or reach out to us on social media. We're committed to supporting your learning journey and addressing any queries you may have.
📚 About This Tutorial:
This tutorial aims to empower viewers with practical skills in natural language processing and deep learning, focusing specifically on emotion detection using LSTM networks. By leveraging Python and popular deep learning libraries, we demonstrate how to preprocess text data, construct LSTM architectures, and train models for emotion recognition, offering insights into its real-world applications and ethical considerations.
4 ماه پیش
در تاریخ 1403/01/26 منتشر شده
است.
1,230
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