Sentiment analysis is something humans take for granted, but can be a significant challenge for a machine. In this course, Understanding Sentiment Analysis and Its Applications, you’ll gain the ability to plan and understand how to apply the main techniques required for successful data analysis in this area of NLP. First, you’ll explore what we mean by “sentiment analysis”. Next, you’ll discover the general theory and core concepts of the field. Finally, you’ll learn how to approach practical problems and challenges as you move from theory into the real world of production. When you’re finished with this course, you’ll have the skills and knowledge of sentiment analysis needed to discuss the topic with confidence and have a solid grounding to enable you to start planning out a production implementation to analyze sentiment.
Author Name: Allen O’Neill
Author Description:
Allen is a consulting engineer with a background in enterprise systems. He runs his own company specializing in systems architecture, optimisation and scaling. He is also involved in a number of start-ups. Allen is a chartered engineer, a Fellow of the British Computing Society, a Microsoft MVP and insider, and both a CodeProject and C-SharpCorner MVP. He is a regular speaker at events both locally and internationally. His core technology interests are Big Data, Data Science and Machine Learning… more