Stemmed
Stemmed refers to text or tokens that have undergone stemming, a preprocessing step used in linguistics and information retrieval. Stemming reduces words to their stem or root form by removing affixes, with the aim of grouping morphologically related terms. The resulting stem may not correspond to a complete word in the language, but it captures the core lexical content for processing.
Stemming is typically performed by rule-based algorithms that apply language-specific suffix or infix rules. Common English
Differences from lemmatization: stemming prioritizes simplicity and speed over linguistic precision. Lemmatization maps a word to
Limitations include over-stemming and under-stemming, language dependence, and reduced interpretability of stems. Stemming is widely used