Easily learn if your survey comments have negative, neutral or positive sentiment
Updated on July 24, 2020
We just added a new Sentiment Analysis feature to your dashboard!
Sentiment analysis is defined as "the process of computationally identifying and categorizing opinions expressed in a piece of text, especially in order to determine whether the writer's attitude towards a particular topic, product, etc. is positive, negative, or neutral."
According to Lexalytics.com, "Sentiment analysis helps data analysts within large enterprises gauge public opinion, conduct nuanced market research, monitor brand and product reputation, and understand customer experiences."
So basically, we're able to leverage years of research in the field of natural language processing to determine if a comment is negative, neutral, or positive.
Why is this useful?
An employee might give a high score but still have some misgivings. Or a low score but still have nice things to say. Sentiment analysis can be useful for a team that gets a lot of comments on each survey, to focus on the responses where eNPS is low but comment is positive, and vice versa.
Anonymity is one of the most important factors in getting good sentiment analysis data, which is why eNPS is such a good candidate—all surveys are anonymous!
Sentiment analysis helps you have a complete picture of how your employees actually feel. Like NPS scores, comments can show interesting trends over time. We'll track your comment sentiment so you can see if it's moving in the same direction as eNPS.
For the rest of the year, you'll get sentiment analysis at no extra charge. Starting next January, it will be available for a small additional fee. Check out the sentiment scores on your dashboards now!
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