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 also use the timeline to quickly locate these messages within the conversation thread.
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…
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…
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…
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…