LX offers different forms of support depending on how the platform is used. Academic users have access to research foundations and tutorial guidance, while commercial users can engage through hands-on workshops.
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 paperLudwig, 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 paperBoth LX Perceptions and LX Topics are built on academically validated methodologies. The papers above provide full technical details for replication and can be used as teaching resources.
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