Text Mining Techniques/Problems in Subjective Examinations

In this era of digital advancement, the world still lacks a comprehensive subjective e-examination system capable of evaluating text-based answers automatically. While multiple-choice examination systems exist, the absence of robust text mining techniques prevents widespread implementation of online subjective assessment. This survey examines recent research on natural language processing and text mining approaches for automating subjective answer evaluation, identifies their limitations, and explains why a foolproof system remains elusive for deployment in educational institutions.