Tap into your users’ feelings
Our sentiment analysis feature instantly determines whether a participant’s tone is positive, negative, or neutral, allowing you to quickly draw key insights about your users’ feelings without spending hours manually reviewing each session.
Easy, straightforward UI
The new feature has an extremely simple UI and only takes moments to work! Just follow these three simple steps:
After requesting a session transcription, select the sentiment analysis button to begin instantly gathering data about your users’ feelings.
Sections of the session transcription will then be highlighted in either green or red to signify whether the participant feels positive or negative about their digital experience.
You will then have the option to approve the AI generated sentiment analysis. You can manually make changes to the generated results if desired.
A/B test product iterations and competitor assets
Rather than manually reviewing study sessions comparing different variations of a product or comparing your own assets to competitor assets, the sentiment analysis tool will allow you to quickly draw general conclusions on your participants’ feelings about each product.
Save countless hours
Prior to launching this feature, companies conducting remote usability testing could spend a minimum of 10 hours per study reviewing videos to gather relevant qualitative insights.
Sentiment analysis will save you significant time and energy, allowing you to scale your user research with even more studies to gather actionable insights to improve your UX.
FAQ
What AI is used for sentiment analysis?
Many AI tools are capable of performing sentiment analysis, including popular frameworks like VADER (Valence Aware Dictionary and Sentiment Reasoner) and NLTK (Natural Language Toolkit), as well as advanced machine learning models like GPT and BERT. Tools like Userlytics' AI-driven sentiment analysis offer real-time emotional insights during user testing sessions, providing clients with instant feedback on user experience.
Can ChatGPT do sentiment analysis?
Yes, ChatGPT, along with other advanced generative AI models, can perform sentiment analysis. Although ChatGPT is not specifically designed for sentiment analysis, its underlying natural language processing capabilities enable it to interpret and analyze emotions in text. However, tools like Userlytics offer a more specialized AI sentiment analysis experience by integrating sentiment tracking directly into usability testing workflows.
What tool is used for sentiment analysis?
Several tools are available for sentiment analysis, including MonkeyLearn, Lexalytics, and Hootsuite. These platforms, along with Userlytics' AI sentiment analysis tool, help businesses interpret user sentiment across digital experiences. Tools like Userlytics integrate sentiment analysis directly into user testing platforms, making it easier to gather valuable insights.
What are the generative AI tools for sentiment analysis?
Generative AI tools for sentiment analysis include models like GPT, which can both generate text and analyze sentiment. In the context of user experience, Userlytics uses advanced AI to deliver real-time sentiment analysis during remote user testing sessions, enabling clients to assess how users feel about specific aspects of their digital products.
How does Userlytics' AI sentiment analysis tool work?
Userlytics' sentiment analysis tool instantly identifies whether a participant’s emotions during a session are positive, negative, or neutral. After the session, users can access highlighted transcription segments linked to specific video moments, enabling a quick and easy review. The tool saves significant time compared to manual analysis, allowing companies to scale their user research more effectively.
Can I customize the AI sentiment analysis results?
Yes, Userlytics allows clients to manually approve, reject, or modify AI-generated sentiment analysis results, offering flexibility to ensure the most accurate interpretation of user sentiment.
What are the benefits of using AI sentiment analysis in user testing?
AI sentiment analysis helps companies save time and resources by automating the emotional analysis of user feedback. Tools like Userlytics provide quick, actionable insights, enabling businesses to enhance the user experience more efficiently. Additionally, features like automated transcription and video-linking make it easier to review specific moments from usability sessions.
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