Python - Word Tokenization

Word tokenization is the process of spptting 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 pke classifying and counting them for a particular sentiment etc. The Natural Language Tool kit(NLTK) is a pbrary 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 sppt the paragraph into inspanidual 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 pke 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. ]