Comments AI & AI Sentiment Analysis
Leveraging AI and NLP to analyze the responses to open-ended questions saves time and provides an instant overview, even with large amounts of data.
AI automates the analysis of free-text responses
When using open-ended questions, reading all free-text answers manually can be time-consuming. The AI feature will help you make sense of your free-text answers in real-time by analysing sentences and identifying keywords.
The sentiment analysis gives an instant indication
Sentiment analysis is made to show if a statement is positive or negative towards the keyword. The findings are summarized in real-time and insights such as "75 people think ventilation is poor at the HQ office" can be gathered.
FAQ
What is AI Sentiment Analysis for Employee Engagement Surveys?
AI Sentiment Analysis for Employee Engagement Surveys is a feature that leverages AI and NLP (Natural Language Processing) to analyze the responses to open-ended questions. This saves time and provides an instant overview, even with large amounts of data.
How does AI Sentiment Analysis help with open-ended questions?
AI Sentiment Analysis automates the analysis of free-text responses, making it easier to make sense of large amounts of data. It also provides an instant indication of sentiment, summarizing the findings in real-time.
What kind of insights can I get from AI Sentiment Analysis?
AI Sentiment Analysis can provide insights such as "75 people think ventilation is poor at the HQ office" or "90% of employees feel their work is meaningful". These insights can help you better understand employee engagement and identify areas for improvement.
Recommended reading: Comments AI– employee listening at scale Survey Intelligence
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