Compare the Top Sentiment Analysis Tools that integrate with Jira as of September 2025

This a list of Sentiment Analysis tools that integrate with Jira. Use the filters on the left to add additional filters for products that have integrations with Jira. View the products that work with Jira in the table below.

What are Sentiment Analysis Tools for Jira?

Sentiment analysis tools are software that uses AI to deduce the sentiment from written language. Sentiment analysis software is useful for monitoring the sentiment and feelings about your brand or business online. Sentiment analysis software tools utilize natural language processing in order to analyze sentiment, and arrive at a conclusion on overall sentiment about your brand. Sentiment analysis tools can be used to scan social media and the web at large to generate a report on how people feel about the brand or terms you are tracking. Being aware of overall brand sentiment can help you make more informed business and product decisions. Compare and read user reviews of the best Sentiment Analysis tools for Jira currently available using the table below. This list is updated regularly.

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    Syncly

    Syncly

    Deep BlueDot

    Syncly (YC W23) turns daily customer feedback into actionable product and operations insights, helping you make sense of the voice of the customer data and proactively address issues before they churn. With Syncly, you can: - Centralize feedback from various sources: Syncly integrates seamlessly with your CX tech stack, even aggregating app reviews, surveys, calls, and more. - Dynamic Sentiment Analysis: Syncly tracks customers' sentiments from their feedback, allowing you to engage them at the right moment. - VoC Report Automation: No more manual tagging and Excel marathons. Syncly automates VoC reports with powerful charts and dashboard features. - AI Search: Ask Syncly AI to answer critical business questions and get a concise overview of customer feedback from everyday queries.
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