Advanced Tokenization and Sentiment Analysis
Completed by Tushar Sharma
May 23, 2026
16 hours (approximately)
Tushar Sharma's account is verified. Coursera certifies their successful completion of Advanced Tokenization and Sentiment Analysis
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.
Skills you will gain
- Category: Deep Learning
- Category: Responsible AI
- Category: Classification Algorithms
- Category: Machine Learning Algorithms
- Category: Applied Machine Learning
- Category: Artificial Intelligence and Machine Learning (AI/ML)
- Category: Data Cleansing
- Category: Unified Modeling Language
- Category: Data Ethics
- Category: Data Analysis
- Category: Embeddings
- Category: Large Language Modeling
