Problem identification & grouping for problem reports, improvement ideas and employee feedback comments.
Peopelgeist's employee comment analysis is the cutting-edge solution to perform topic grouping and sentiment analysis on your employee comments to get actionable insight.
The only text-analysis solution specialized for operational topics & employee concerns, focusing on concrete workplace-problems teams can act on.
Sentiment analysis 2.0 for employee feedback comments
The most valuable information in a survey is often in the comments. The comments help managers understand what employees think.
Reading through all the comments is very time intensive. Sentiment analysis is a technique in natural language processing (NLP) that uses machine learning and other techniques to automatically grasp the overall mood of comment.
This technique is used heavily in customer review analysis to quickly extract the topic of a product review and if the review was positive or negative.
Classic sentiment analysis can automatically extract the topic and the sentiment (positive/negative) of an employee comment. It helps you to detect and categorize hundreds of employee feedbacks by topic.
Sentiment Analysis 2.0 is what we call the next generation of text-analysis. For truly actionable insight you need not only the topic but also the prevailing problem.
Detecting that a comment is about “the boss” is good. Knowing exactly the opinion “boss helpful” is what makes the analysis helpful.