Social Media Sentiment Analysis + GPT API | TensorFlow + OpenAI | Complete AI Project Tutorial
📞 For project inquiries and support, contact us at +91 7676409450
📱 Social Media Sentiment Analysis with GPT API - Build an advanced sentiment analysis system that combines deep learning (TensorFlow) with OpenAI GPT for intelligent social media text analysis!
This project demonstrates:
✅ Deep learning sentiment analysis using TensorFlow/Keras
✅ Text vectorization and preprocessing
✅ Integration with OpenAI GPT API for enhanced analysis
✅ Real-time sentiment prediction from social media text
✅ Interactive Streamlit web interface
✅ Neural network model training and deployment
Technologies Used:
TensorFlow/Keras (Deep Learning)
OpenAI GPT API
Streamlit (Web Interface)
Text Vectorization
Pandas & NumPy (Data Processing)
Pickle (Model Serialization)
Key Features:
🧠 Deep learning sentiment model
🤖 GPT API integration for context
📊 Real-time sentiment prediction
💬 Social media text analysis
📈 Sentiment classification
🎯 High accuracy predictions
💻 User-friendly interface
Perfect for:
Deep learning enthusiasts
Social media analysts
Data scientists
AI/ML practitioners
NLP researchers
Project Includes:
Trained TensorFlow model (sentiment_analysis_model.h5)
Text vectorization pipeline
OpenAI GPT integration
Streamlit application
Training notebook
Dataset for sentiment analysis
Use Cases:
Social media monitoring
Brand sentiment tracking
Customer feedback analysis
Social listening
Content sentiment analysis
Model Architecture:
Neural network with embedding layers
Text preprocessing pipeline
Sequence-based classification
GPT-enhanced analysis
Like, Share, and Subscribe for more AI and deep learning projects!
#SentimentAnalysis #TensorFlow #OpenAI #DeepLearning #SocialMedia #NLP #Streamlit #GPT #NeuralNetworks #DataScience