Stemming is another step in text analysis for normalization at the language level. The stemming process replaces a word with its root word. It chops off the prefixes and suffixes. For example, the word connect is the root word for connecting, connected, and connection. All the mentioned words have a common root: connect. Such differences between word spellings make it difficult to analyze text data.
Lemmatization is another type of lexicon normalization, which converts a word into its root word. It is closely related to stemming. The main difference is that lemmatization considers the context of the word while normalization is performed, but stemmer doesn't consider the contextual knowledge of the word. Lemmatization is more sophisticated than a stemmer. For example, the word "geese" lemmatizes as "goose." Lemmatization reduces words to their valid lemma using a dictionary. Lemmatization considers the part of speech near the words for...
