lemmitäminen
Lemmitäminen, also known as lemmatization, is a text processing technique used in natural language processing (NLP) and computational linguistics. It involves reducing words to their base or root form, known as the lemma. This process is crucial for various NLP tasks, such as information retrieval, text classification, and machine translation, as it helps to normalize text data and reduce the dimensionality of the vocabulary.
Lemmatization differs from stemming, another text normalization technique, in that it considers the context and meaning
Lemmatization can be performed using various algorithms and tools, such as the WordNet Lemmatizer in Python's
In summary, lemmitäminen is a valuable technique in NLP that helps to normalize text data and improve