Tokenization basics in Data Analysis Python - Cheat Sheet & Quick Revision

Recall & Review

beginner

What is tokenization in text data processing?

Tokenization is the process of breaking down text into smaller pieces called tokens, such as words or sentences, to make it easier to analyze.

beginner

Why do we tokenize text before analysis?

We tokenize text to convert it into manageable parts so computers can understand and analyze the text more easily, like counting words or finding patterns.

beginner

Which Python library is commonly used for tokenization?

The NLTK (Natural Language Toolkit) library is commonly used for tokenization in Python.

beginner

What is the difference between word tokenization and sentence tokenization?

Word tokenization splits text into individual words, while sentence tokenization splits text into sentences.

beginner

Show a simple Python example to tokenize a sentence into words using NLTK.

from nltk.tokenize import word_tokenize
text = "Hello, how are you?"
tokens = word_tokenize(text)
print(tokens)

This code splits the sentence into words like ['Hello', ',', 'how', 'are', 'you', '?'].

What does tokenization do in text processing?

A Breaks text into smaller pieces called tokens

B Converts text to numbers directly

C Removes all punctuation from text

D Translates text to another language

Tokenization breaks text into smaller parts like words or sentences to help analyze it.

Which of these is a token in tokenization?

A A whole paragraph

B A word

C A book

D A language

Tokens are small pieces like words or sentences, not large blocks like paragraphs or books.

Which Python library is popular for tokenization?

A NLTK

B Pandas

C NumPy

D Matplotlib

NLTK is a popular library for natural language processing tasks including tokenization.

What is the output of word tokenization on the sentence 'Hi there!'?

A ['Hi there!']

B ['H', 'i', 't', 'h', 'e', 'r', 'e']

C ['Hi there']

D ['Hi', 'there', '!']

Word tokenization splits the sentence into words and punctuation marks as separate tokens.

Sentence tokenization splits text into:

A Words

B Paragraphs

C Sentences

D Characters

Sentence tokenization breaks text into sentences.

Explain what tokenization is and why it is important in text analysis.

Think about how computers understand text.

Describe the difference between word tokenization and sentence tokenization with examples.

Consider how you read a paragraph.