All lessons in this module

Previous lesson. Project 1: Image Classification (CIFAR-10) · Next lesson. Project 3: Time Series Forecasting (Advanced)

Project 2: Sentiment Analysis on Reviews

Build a sentiment analysis system for product/movie reviews using advanced NLP.

Difficulty

Advanced

Time Estimate

1-2 weeks

Skills You'll Practice

• NLP
• RNNs/LSTMs
• Transformers
• Text Classification

Learning Objectives

• Apply advanced text preprocessing
• Use word embeddings (Word2Vec, GloVe)
• Build RNN/LSTM architectures
• Implement Transformer models (BERT)
• Handle variable text lengths

Dataset

IMDB Reviews or Amazon Reviews

• IMDB Reviews
• Large text dataset
• Binary or multi-class sentiment

Project Steps

1. Load and preprocess text data
2. Create word embeddings
3. Build LSTM model
4. Implement BERT/Transformer
5. Compare approaches
6. Deploy as API

Expected Deliverables

• Sentiment analysis model
• Comparison of LSTM vs BERT
• API for real-time predictions
• Performance analysis

Resources

• Hugging Face Transformers
• BERT Tutorial

All lessons in this module

Previous lesson. Project 1: Image Classification (CIFAR-10) · Next lesson. Project 3: Time Series Forecasting (Advanced)