Text Mining and Analytics: Machine Learning for Natural Language Processing

Machine learning (ML) is one of the most important toolsets available in the enterprise world. It gives predictive powers to data that can be leveraged to investigate future behaviors and patterns. It can help companies proactively improve their business and help optimize their revenue. Learn how to leverage machine learning to make predictions with language data. Explore the ML pipelines and common models used for Natural Language Processing (NLP). Examine a real-world use case of identifying sarcasm in text and discover the machine learning techniques suitable for NLP problems. Learn different vectorization and feature engineering methods for text data exploratory data analysis for text model building and evaluation for predicting from text data and how to tune those models to achieve better results. After completing this course youll be able to illustrate the use of machine learning to solve NLP problems and demonstrate the use of NLP feature engineering.