Sentiment Analysis: When Machines Can Beat Humans

Guest blogger Dr. Taras Zagibalov of Brandwatch addresses criticisms leveled at automatic sentiment analysis used for social media monitoring. Humans, he posits, often struggle to determine the sentiment of a piece of text because, just like the machine, they do not have the relevant knowledge available. Have current developments in machine analysis improved the process when compared with human analysis? And what of its own, inherent limitations? One perspective — after the jump.

Dr. Taras Zagibalov holds a doctorate in Informatics and heads the natural language processing research team at social media monitoring company Brandwatch. His work centers on improving real-time sentiment analysis to deliver accurate and up to date information for brands.