Accuracy of Zendesk QA Sentiment Filter
Can the Sentiment filter in Zendesk QA be inaccurate?
Yes, the Sentiment filter can sometimes be inaccurate, especially with non-standard text like production code or long sequences of numbers. While the NLP models are advanced, the quality of sentiment analysis depends on the type of text, and certain content can lead to misjudgments.
More related questions
What is the Zendesk QA Sentiment filter?
The Zendesk QA Sentiment filter helps identify the sentiment and tone of conversations. It highlights interactions that are noticeably positive or negative, allowing you to focus on the most impactful conversations. This tool is particularly useful…
How do I use the Sentiment filter in Zendesk QA?
To use the Sentiment filter, you need to create a new filter and add the rule 'Sentiment is Positive/Negative'. This will show you all conversations with either positive or negative sentiment, marked with a green smiley or red frown face. You can…
Which languages does the Zendesk Sentiment filter support?
The Zendesk Sentiment filter supports conversations in English, German, French, Portuguese, Dutch, Spanish, Polish, Japanese, Turkish, and Italian. This allows you to analyze sentiment across a wide range of languages, making it a versatile tool…
How is the Sentiment value calculated in Zendesk QA?
The Sentiment value in Zendesk QA is calculated using advanced Natural Language Processing models. These models assess customer messages to determine sentiment, which often correlates with survey feedback values. However, it's important to note…
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