Businesses today have large amounts of voice and text data collected from different channels such as emails, news, calls, and customer reviews. These data can be used in companies to extract hidden patterns or key features and hence need to be efficiently processed and modelled using Natural Language Processing (NLP) algorithms.

The aim of this course is to provide basic knowledge of NLP technology, which has recently gained special attention in various fields such as marketing, customer service and e-commerce. This course covers different algorithms and topics, including sentiment analysis, topic modeling, semantic search, chatbots, and transformers. In addition to key NLP techniques such as word embedding and LLM fine-tuning.  All methods and algorithms discussed in this course are explained with figures and diagrams, as well as practical examples to show you how you can apply these methods for your own business.