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Sentiment Analysis Dashboard

Interactive demo of a BERT-powered NLP model for sentiment analysis. Processes text in real-time with 92% accuracy to classify sentiment and extract key emotional indicators.

BERTNLPTransformersTwitter API
Text Input
Enter text to analyze sentiment

Try these examples:

Enter text to see sentiment analysis results

Dataset Sentiment Distribution
Analysis of 100,000+ social media posts

Technical Implementation

Model Architecture

  • • BERT-base transformer model fine-tuned on sentiment data
  • • Multi-class classification (positive, negative, neutral)
  • • Attention mechanism for context understanding
  • • Real-time inference with optimized tokenization

Features & Pipeline

  • • Twitter API integration for real-time data collection
  • • Text preprocessing and normalization
  • • Keyword extraction using TF-IDF
  • • Batch processing capability (1000+ texts/min)