Want to understand how sentiment analysis works and how to use it to read your customer conversations effectively? Here are answers to the most common questions.
What sentiment categories does the platform support?
The platform classifies content into three categories: positive for favorable feedback and satisfaction, negative for complaints, dissatisfaction, and critical perception, and neutral for factual statements or content where no clear sentiment is present. These categories are standardized across all data sources to ensure consistent reporting.
How does the platform handle sarcasm and contrastive statements?
The platform interprets intent rather than surface-level wording. It can distinguish between the literal and intended meaning in cases of sarcasm, identify the dominant tone in contrastive statements that mix positive and negative elements, and account for cultural expressions where meaning depends on regional or linguistic context.
Does sentiment analysis support local Arabic dialects?
Yes. Sentiment classification builds directly on the platform's support for regional Arabic dialects, slang, and mixed-language content. This means results reflect how customers across MENA markets actually communicate.
How should I interpret sentiment analysis results correctly?
Sentiment analysis works best as a directional indicator rather than a standalone metric. Trends across a volume of conversations are more meaningful than individual classifications, and combining sentiment with topic and volume analysis gives a more complete picture. A single negative mention carries less weight than a sustained shift in tone across a channel or campaign.
Why is it important to combine sentiment with other metrics?
Sentiment analysis alone does not reveal the full picture. Combining it with topic and volume analysis enables a deeper understanding of what is driving customer perception and helps identify the root causes behind any shift in sentiment.
Have more questions? Browse the Help Center articles or reach out to our support team for further assistance.
