Deep Learning
Sentiment Analysis on Social Media
NLP sentiment analysis on massive Twitter/X datasets.
S
The Problem
Brands struggle to accurately gauge real-time public sentiment from millions of noisy social media posts.
The Solution
A deep learning model predicting public sentiment from massive datasets using Recurrent Neural Networks (RNNs) and NLTK.
Key Features
Data cleaning and tokenization pipeline
Custom RNN architecture
Real-time sentiment scoring
Outcomes & Impact
- Achieved high accuracy on complex, noisy text
- Provides actionable brand health metrics
Technologies
TensorFlowKerasNLTKPython