Lemmatization: Definition, Types, Importance
Lemmatization is a natural language processing (NLP) technique employed in natural language understanding that aims to return the word to its dictionary form, which is referred to as the lemma. While stemming removes the endings of words, lemmatization takes the whole sentence into consideration. For instance, lemmatization simplifies both the present continuous and past tense forms ‘running’ and ‘ran’ to ‘run’. This method makes sure that the focus is on accomplishing the proper analysis of text meanings rather than altering a wide variety of word forms.
Lemmatization is beneficial in organizing the data for search engines, sentiment analysis and chatbots. It is also achieved by commonly available tools like WordNet and SpaCy. In conclusion, lemmatization is portrayed as an improvement to the text processing task, whereby the final product contains standardized words without changing the meaning.
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