Text Analytics and Sentiment Analysis

1. Explain the key topics, techniques and algorithms in text analytics and sentiment analysis 2. Apply text analytics techniques and Natural Language Processing (NLP) methodologies to textual data in a practical environment 3. Demonstrate the usage of appropriate text analytics libraries in various stages of text analytics process

1. Introduction to Text Analytics and Sentiment Analysis 2. Natural Language Processing 3. Syntactic Analysis 4. Semantic Analysis 5. Language Modelling 6. Text Classification 7. Sentiment Analysis 8. Natural Language Processing 9. Practical Text Analytics and NLP 10. Implmentation of Text Analytics Techniques and methodologies - Text Analytics Libraries 11. Appropriate use of Techniques for Text Analytics and NLP