5 Key Challenges in Sentiment Analysis - P Plus Measurement Services

As the adoption of sentiment analysis continues to spread across industries, from politics to PR, opinions about the field also run deep. That's especially true among practitioners, and a range of academic and vendor specialists weighed in at the Sentiment Analysis Symposium in New York last week. While the novelty factor begins to subside, clients are looking for more substance, and as befitting such a multifaceted topic, it's complicated. As a follow-up to yesterday's post that covered the analysis of visual images and facial coding, here the experts offered their perspectives on approaching 5 ongoing issues: The degree of accuracy issue is hard to answer, said Bing Liu, a University of Chicago computer science professor specializing in data mining. It depends on what you're measuring, the level of text you're analyzing, the number of data sets across domains and the voice sound quality of videos, among other variables.