Kanjoya’s Natural Language Processing Delivers Insight into Human Behavior and Motivation

From surveys to reviews to CRM data, Kanjoya analyzes vast sets of unstructured data, uncovers meaning, and delivers insights that improve business results.

Business results delivered through technology

Kanjoya technology is based on a decade of innovation and co-developed with leading linguistics researchers from Stanford University.

Emotion Analytics

Kanjoya’s proprietary technology goes beyond simple positive and negative sentiment to decipher emotions, human factors, and nuance in language.

Audience Understanding

We integrate emotion analytics with structured demographic information (e.g., location, age, and gender) to provide rich, high-signal guidance that improves business results.

Multi-Dimensional Data

Built for massive scale, Kanjoya’s NLP technology automatically ingests vast sets of unstructured data, from Facebook and Twitter to surveys, search trends, and forum posts.

Intelligent Baselines

We benchmark your data against the statistical profiles for different data sources, enabling you to identify ‘hot spots’, unusual activity, and key trends in your business.

Perception Whitepapers

Learn more about our technology

Non-technical Whitepaper

Perception Non-technical Whitepaper

Sentiment Analysis vs. Emotion Analytics

Sentiment Analysis vs. Emotion Analytics Whitepaper

Beyond Sentiment

Context-aware emotion modeling for customer insights.

Moritz Sudhof, Senior NLP Engineer and Algorithmic Lead at Kanjoya, manages the development of Kanjoya's sentiment, emotion, and experience modeling technology.

His team, in collaboration with researchers at Stanford University, is leveraging the rich corpus of emotion data from Experience Project to model human expression in language.

Listen to Moritz present at the Symposium this year to learn more about the world beyond sentiment analysis: Context-aware emotion modeling for customer insights.