Feature Hashing

A technique used in machine learning to convert text or categorical data into fixed-length numerical feature vectors by applying a hash function. Feature hashing is particularly useful for handling high-dimensional sparse data, such as the text of bug reports or user reviews. It reduces memory requirements and computational cost compared to approaches like bag-of-words or TF-IDF, making it practical for processing large datasets of textual accessibility feedback.