Sentiment Analysis

An NLP technique that determines the emotional tone of text data, such as emails or reviews.

Putting Sentiment Analysis in Context:

CRE property managers use sentiment analysis on tenant feedback to identify dissatisfaction early and address concerns proactively.


Frequently Asked Questions about Sentiment Analysis

Sentiment analysis is an NLP (Natural Language Processing) technique that determines the emotional tone of text data, such as emails, reviews, or survey responses.

CRE property managers use sentiment analysis on tenant feedback to identify dissatisfaction early and address concerns proactively, improving tenant retention and satisfaction.

Sentiment analysis can be applied to emails, online reviews, tenant surveys, and maintenance request comments, offering insight into customer and tenant sentiment.

Benefits include early detection of issues, improved tenant relations, data-driven service improvements, and reduced churn by responding to emotional cues in feedback.

You can download the complete CRE Glossary in an eBook (PDF) format by clicking the link provided in the related content section.



Click here to get this CRE Glossary in an eBook (PDF) format.