MUMBAI, India, Feb. 27 -- Intellectual Property India has published a patent application (202541131116 A) filed by Rajalakshmi Engineering College, Chennai, Tamil Nadu, on Dec. 24, 2025, for 'preductuve data mining system for personality prediction from text.'

Inventor(s) include Dr. M. Thangamani; and S. Shvetha.

The application for the patent was published on Feb. 27, under issue no. 09/2026.

According to the abstract released by the Intellectual Property India: "This invention presents a white-box machine leaming system for predicting human personality traits using an interpretable logistic regression framework. The system analyses multidimensional linguistic features derived from personality-labelled text datasets, including word usage patterns, n-gram frequencies, semantic indicators, and psycholinguistic markers. A robust preprocessing module performs text cleaning, tokenization, encoding, and standardization within a 10-fold cross-validation scheme to ensure unbiased training and prevent data leakage. The logistic regression model estimates trait probabilities using established statistical learning techniques while maintaining full transparency. Model outputs include coefficient-based explanations and feature-importance visualizations, enabling clear interpretation of how linguistic factors influence predictions. The invention emphasizes methodological rigor and explainability, supporting reliable personality assessment for applications in psychology, recruitment, education, and digital behavior analysis."

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