What We Do
Go beyond traditional sentiment analysis by detecting the writer's underlying stance, perspective and position on topics, providing deeper insights when sentiment analysis alone is not enough.
We're helping businesses uncover deeper insights from their data. Our advanced text analysis technology allows you to uncover the insights that matter so you can make informed decisions that drive growth.
Easy Access APIs
We make analyzing perspectives effortless with the first commercially available stance detection API. We also have APIs for topic analysis, summarization, and more.
Any Text, Any Time
We understand that every use case is unique. That's why we offer a range of solutions that can be tailored to your specific needs. Whether you're looking understand public policy perception or perform real-time customer feedback, our advanced text analysis technology has got you covered.
Accelerating Your Data Science Efforts
Our team is comprised of experts in their field and are dedicated to helping you understand nuanced data. With our advanced text analysis, you can gain insights that would be impossible to uncover using traditional methods.
Providing Exceptional Customer Experience
We believe that exceptional customer service is the key to success. That's why we will ensure that you always receive the support you need to succeed.
Ready to Unlock the Power of Stance Detection?
Stance detection is the next frontier of text analysis. It goes beyond sentiment analysis by identifying the perspective or opinion expressed in the text, not just positive or negative sentiment.
With stance detection, you can determine the reasoning behind sentiments, detect agreement and disagreement, and categorize text by viewpoint. By leveraging stance detection, you gain actionable insights that sentiment analysis alone cannot provide. Discover a new level of text understanding with Asentio.
We're Proud of Our Achievements
Years in Development
Accuracy for Stance Detection - Better than human labeling*
*Manual human labeling can be as low as 75% accurate, especially for difficult use cases where there is nuance involved.
Data Points Analyzed