Advanced Tokenization and Sentiment Analysis
Completed by Niketa Kumari
January 19, 2026
16 hours (approximately)
Niketa Kumari'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: Model Evaluation
- Category: Text Mining
- Category: Unstructured Data
- Category: Embeddings
- Category: Deep Learning
- Category: Data Processing
- Category: Time Series Analysis and Forecasting
- Category: Machine Learning Algorithms
- Category: Classification Algorithms
- Category: Responsible AI
- Category: Data Cleansing
- Category: Unified Modeling Language
