Project 21: Emotion Classification Using LSTM & Machine Learning

🎥 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: www.kaggle.com...
Code Repository: github.com/Cha...
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📚 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.

[@oliviaw3568]

How Machine Learning Algorithm Works
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import packages/loading libraries 2:00
load the data 8:08
data analysis/EDA 13:05
data processing 23:04
import some ML algorithms packages 24:44
clean the data(comment) 27:35
divide the dataset into train/test 34:41
apply the ML algotrithm and train the model 37:32
use the model to predict new data(the emotions) 43:45
Deep Learning(Using LSTM)
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save files 50:02
start Deep Learning 52:30
clean data(different from ML) 52:40
create our model 1:00:27
create the predictive system using the model 1:07:40
test the model 1:11:12
create web application using ML algorithms 1:17:13

[@maximalopgaming2942]

Sir please make next video on REAL TIME FACE RECOGNITION ATTENDANCE using deep learning and machine learning just like other videos in this series

[@Nsjsbsbs7987]

Song and Movie recommendations system with facial expressions using opencv and mediapipe please

[@knowledgedoctor3849]

Noted