what is tokenization in NLP? and, to get raw tokens for a sentence with words seperated by space, why use tokenizers from nltk instead of str.split()?

Question

Accepted Answer

Tokenization in NLP is the process of breaking down text into smaller units called tokens.

Tokenization is a fundamental step in NLP for text preprocessing.
Tokens can be words, phrases, or even individual characters.
Tokenization helps in preparing text data for further analysis or modeling.
NLTK tokenizers provide additional functionalities like handling contractions, punctuation, etc.
str.split() may not handle complex tokenization scenarios as effectively as NLTK tokenizers.

Accepted Answer

So Basicaly it is a process of understnading the problem to easier way,

like for example we have to given by one paragraph that would be very tuff and lazzy to reading but we can use tokenization than overall para convert by a smaller sentence that would be easy to reading and understanding to user and greatfully this one understnad how to eaning of this paragraph.

i thought this is the main use of tokenization str.split().

what is tokenization in NLP? and, to get raw tokens for a sentence with words seperated by space, why use tokenizers from nltk instead of str.split()?

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