What you will learn

• Build smarter NLP pipelines with advanced tokenization methods like byte-pair encoding, subword units, and streaming-friendly strategies.

• Create powerful text representations using character-level, hybrid, and sentence embeddings for real-world search, classification, and clustering.

• Learn sentiment analysis with VADER, machine learning models, and transformer-based approaches like BERT and RoBERTa.

• Analyze opinion trends, perform aspect-level and multilingual sentiment analysis, and ensure fairness and accuracy in sensitive applications.