Data Mining: Text Analytics an

Catalog description

Comments, chats, logs, etc., are rich with customer feedback and insights that if analyzed can drive business decisions and potentially reduce costs. The challenge is generating meaning and context when the data quality and type varies. This course focuses on text processing and interacting with unstructured data. Techniques for mining unstructured data such as text pre-processing, tokenization, corpus preparation, machine learning algorithms, N-gram language model, word and document vectors, and text classification will be covered in this course.