A Full Dive Into Tokenization #003

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Hello great minds,

I trust you are all doing perfectly fine, it is another beautiful day to come before you all again to continue our wonderful discussion on tokenization.

Today, we shall continue our discussion on applications of tokenization, please stay tuned.

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APPLICATION OF TOKENIZATION

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There are several applications of tokenization in our world today and we shall examine some of them now.

• TEXT PROCESSING

Tokenization is a very important process in text processing, as it helps in breaking down a given texts into smaller units known as tokens.

These tokens some times appear as words, characters or even sub-words, all depending on the tasks requirement.

Tokenization is a very important step that aids and Improve a wide range of texting applications, some of which are information retrieval, text analysis and the understanding of natural language.

In text processing, tokenization helps to divide raw text documents into tokens which are easier analyzed.

And this process has to do with the removal of any irrelevant character such as special symbols, punctuation marks and separating words.

PART OF SPEECH TAGGING

Another way in which tokenization aids text processing is what we know as part of speech tagging.

Tokenization plays a huge role in the identification of word boundaries, thus making it easier for part of speech tag to be assigned to each word in a sentence.

WORD LEVEL ANALYSIS

At the word level, tokenization is used for different NLP tasks, tasks such as text classification, sentiment analysis and keyword extraction.

Tokenization permits for the context of the text to be analyzed by the system at the granularity of individual words.

LANGUAGE MODELLING

Tokenization is very useful in language modelling as it is used in splitting texts into tokens for training models like GPT.

These models help to enable better understanding at the token level where their operation is needed.

TEXT CLASSIFICATION

Tokenization is very important in text classification in the blockchain.

It is used to detect spam on the blockchain and it is also used in the representation of data in the appropriate formats.

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CONCLUSION

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We have considered few ways in which tokenization is useful in text processing in the blockchain.

As we proceed, we shall understand more concepts about tokenization.