Informs Today: The Podcast Series

If you're in government, product marketing, or any field that craves insight into what the public feels, you probably use sentiment analysis, which assesses whether an article or blog entry or online review is positive, negative, or neutral and draws macro conclusions from all the data. But developing an algorithm or model to understand the nuance of language is still a skill in its infancy. Maksim Tsvetovat of Deepmile Networks and George Mason University believes that current methods have serious flaws. He offers a unique approach in Implicit Sentiment Mining, an article he co-authored with Jacqueline Kazil and Alex Kouznetsov. It appears in the current issue of ORMS Today. You'll gain insight into the current state and the future promise of sentiment analytics in this insightful podcast.