See what drives consumers
— hidden in their own words.

The insight is already in your data.

The Linguistic Extractor turns your consumer text into research-grade measures of emotions, evaluations, and topics.

Click the floating bubbles to reveal the insight

LX Perceptions

Measure what consumers really feel

What consumers write reveals how they feel and evaluate.

LX Perceptions turns consumer text into research-grade measures of emotions and evaluations grounded in marketing theory.

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What you can discover

Consumer emotions

Consumers feelings across 16 distinct emotions

Trust and commitment

The consumer relationship strength with products and services

Recommendation

Whether consumers advocate or hesitate

Sentiment

Consumers overall sentiment towards products and services

LX Topics

Measure what consumers talk about

What consumers write also reveals what they talk about.

LX Topics converts consumer text into clear, research-grade topics, revealing what consumers discuss and care about.

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What you can discover

Core topics

What consumers care for in products, services, and experiences

Topic differences

How topics vary by sentiment, segment, or context

Topic evolution

How consumer topics change over time and where new topics emerge

Who LX is for

LX is built for people who need credible answers from text data—not just subjective interpretations, dashboards, or generic AI outputs. Whether your goal is theory development or decision-making, LX helps you extract empirical, research-grade, defensible insight from consumer text at scale.

Academic research and teaching

LX supports theory development, empirical research, and teaching by enabling validated measurement from consumer-authored text at scale.

Applied insight and decision-making

LX helps organizations move beyond surface-level sentiment to understand what consumers feel, evaluate, and discuss—using interpretable, evidence-based insight.

Research foundations

LX is built on peer-reviewed research in marketing, consumer psychology, and text analytics. Explore the studies behind LX Perceptions and LX Topics.

LX Perceptions Research

Ludwig, Stephan, Peter J. Danaher, Xiaohao Yang, Yu-Ting Lin, Ehsan Abedin, Dhruv Grewal, and Lan Du. "Extracting Consumer Insight from Text: A Large Language Model Approach to Emotion and Evaluation Measurement." arXiv preprint arXiv:2602.15312 (2026).

Read the paper

LX Topics Research

  • Ludwig, Stephan, Peter J. Danaher, and Xiaohao Yang. "A Neural Topic Method Using a Large-Language-Model-in-the-Loop for Business Research." arXiv preprint arXiv:2603.03623 (2026).

    Read the paper

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