FOR LEMMATIZATION WORDS WITH NLTK
Lemmatization is the
algorithmic process of finding the lemma of a word depending on its meaning.
refers to the morphological analysis of words, which aims to remove
It helps in returning the
base or dictionary form of a word, which is known as the lemma.
The NLTK Lemmatization the method is based on WorldNet's built-in morph function.
includes both stemming as well as lemmatization. Many people find the two terms
confusing. Some treat these as same, but there is a difference between these
Why is Lemmatization better than
The stemming algorithm works
by cutting the suffix from the word. In a broader sense cuts either the
beginning or end of the word.
On the contrary,
Lemmatization is a more powerful operation, and it takes into consideration
morphological analysis of the words.
It returns the lemma which
is the base form of all its inflectional forms. In-depth linguistic knowledge
is required to create dictionaries and look for the proper form of the word.
Stemming is a general
operation while lemmatization is an intelligent operation where the proper form
will be looked in the dictionary. Hence, lemmatization helps in forming better
machine learning features.
Program for Lemmatization words Using NLTK:
Lemmatization is much
better than stemming.