It does according to a post on Vigetengage by former staffer Jen Krupey. In a section of her post entitled “Sentiment Stinks,” Jen wrote that, “Overarching consensus was that no tool does a ‘great’ job getting sentiment right. Human review is still needed.

But that was before Jen or anyone else had seen our ConsumerBase product, which addresses the exact problem she’s highlighting. She’s saying that sentiment analysis stinks because the accuracy/precision levels of current tools are so low that a human analyst needs to clean up the tool’s output to make it usable. That means wasted time, and time is money, so it really means wasted money.

There’s no denying that Natural Language Processing is a hard problem for sentiment, but I think users will find ConsumerBase does a much better job at it and results will require far less manual clean-up.

We recognize this “laddering up” is essential to doing analytical work, so we’ve baked theming right into ConsumerBase. In fact, once you’ve grouped your insights into themes relevant to the way you look at the world, you can then automatically build a pie chart from the data. Our improved precision and the theming capability should be a big time saver for any analyst whose job it is to track sentiment.

NetBase Product Line

Premier social media analytics platform

Tailored platform for growing businesses

Expand your social platform with LexisNexis news media

Power of social analytics for your entire team

Customer experience analytics platform

AI, Image Analytics, Reporting Tools, APIs & more

Product configurations to meet all needs

Quid Product Line

Media analytics and market intelligence platform

Enrich your media analytics with social data

Media coverage for historical & real-time monitoring

AI algorithms, NLP, data sources, and visualization

Tailored, configurable solutions