Deep Natural Language Processing and AI Applications for Industry 5.0 by Poonam Tanwar;Arti Saxena;C. Priya;

Author:Poonam Tanwar;Arti Saxena;C. Priya;
Language: eng
Format: epub
Publisher: IGI Global

It shows that the 150th string in text3 is “the” and likewise the text corresponding to the index are shown . Normally the index can be created like an array of structures or a list of strings starting from zero to the previous number of the last string. It can be created as

A sentence is created. To identify the index value, check the code as given below

Tokenization

The process of dividing the big quantity of data into small piece of text as tokens is called tokenization. The tokens are used to find patterns and it is the basic step for Stemming and lemmatization (Singh 2019).

Word Tokenization

NLTK has a module tokenize which is used for making the large data to tokens. It has two sub modules namely word tokenize and sentence tokenize. A Word can be tokenized from the sentence using the method word_tokenize().

Figure 5. Word Tokenization

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