Radian6, one of the primary social media monitoring tools we use at Ignite, recently launched a new feature: automatic sentiment analysis. As Christ Newton, Radian6 Founder and CTO, explains in his blog post: “Radian6 automated sentiment reviews on-topic posts as they come in, determines the sentiment of the post at the sentence level, and aggregates a positive, negative, or neutral designation at the post level based on specified sentiment keywords and phrases.”
I should mention that Radian6 continues to be one of our primary tools at Ignite. The noise filtering is second to none, and we should know – we are tracking some very “noisy” keywords for our clients. So, while we consider the addition of sentiment analysis to Radian6 to be a great bonus, we would have continued to use their service even without it.
Opening Skepticism
Our social monitoring guru at Ignite, Brian Chappell, has often questioned the accuracy, and therefore, usefulness, of automatic sentiment analysis, typically done with what’s called Natural Language Processing. Without a trained human actually reading each and every post, the ability of these systems to accurately mark a post as Positive, Negative or Neutral in regard to a specific brand or product mention is not very strong. However, the goals of sentiment analysis and trending the general sentiment about a brand or product over time is a very worthy one, especially for a social media agency like Ignite as we try to move the relevant needles for our clients and report on that growth.