Word tokenization is the process of splitting a large sample of text into words. This is a requirement in natural language processing tasks where each word needs to be captured and subjected
to further analysis like classifying and counting them for a particular sentiment etc. The Natural Language Tool kit(NLTK) is a library used to achieve this. Install NLTK before proceeding with the python
program for word tokenization.

conda install -c anaconda nltk

Next we use the word_tokenize method to split the paragraph into individual words.

import nltk

word_data = "It originated from the idea that there are readers who prefer learning new skills from the comforts of their drawing rooms"
nltk_tokens = nltk.word_tokenize(word_data)
print (nltk_tokens)

When we execute the above code, it produces the following result.

[''It'', ''originated'', ''from'', ''the'', ''idea'', ''that'', ''there'', ''are'', ''readers'', 
''who'', ''prefer'', ''learning'', ''new'', ''skills'', ''from'', ''the'',
''comforts'', ''of'', ''their'', ''drawing'', ''rooms'']

Tokenizing Sentences

We can also tokenize the sentences in a paragraph like we tokenized the words. We use the method sent_tokenize to achieve this. Below is an example.

import nltk
sentence_data = "Sun rises in the east. Sun sets in the west."
nltk_tokens = nltk.sent_tokenize(sentence_data)
print (nltk_tokens)

When we execute the above code, it produces the following result.

[''Sun rises in the east.'', ''Sun sets in the west.'']