Text Analytics and Sentiment Analysis for Customer Feedback
PXP text analytics and sentiment analysis reads open-ended feedback, customer comments, and survey responses to reveal customer sentiment, recurring themes, and the issues driving satisfaction or frustration.
Find patterns hidden in customer comments
Use PXP AI to process large volumes of comments, categorize feedback, and reveal the topics, emotions, and sentiment trends that teams should act on.
Use PXP for customer feedback analysis, feedback analytics, text analysis, comment analysis, and survey text analytics across every feedback channel.
From raw comments to clear signals
PXP AI Agent helps teams understand what is happening inside customer comments and where to focus next.
Wait time is mentioned 42% more often this month.
Negative comments are concentrated around checkout and lobby service.
Cleanliness feedback is trending positive across three locations.
Weekend delivery complaints are increasing.
Use these signals in Dashboard reports or route them into Action Hub for follow-up.
Understand feedback at scale
Text Analytics helps teams turn high-volume customer comments into themes, sentiment, and priorities that are easier to investigate and act on.
Bring feedback sentiment analysis, customer text analytics, and VOC text analytics into dashboard-ready reports.
Process large volumes of open-ended feedback without manually reading every comment.
See which issues keep coming up across locations, channels, and touchpoints.
Focus on topics with the strongest negative sentiment or fastest growth.
Feed themes, sentiment, and topic trends into PXP Dashboard for reporting and decision-making.
The pickup line was slow and no one explained the delay.
Staff was friendly, but checkout still took too long.
The lobby was clean and the manager solved my issue quickly.