NLTK Tokenize: Exercises with Solution
Python NLTK Tokenize [9 exercises with solution]
What is Tokenize?
Tokenization is the process of demarcating and possibly classifying sections of a string of input characters. The resulting tokens are then passed on to some other form of processing. The process can be considered a sub-task of parsing input.
1. Write a Python NLTK program to split the text sentence/paragraph into a list of words.
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2. Write a Python NLTK program to tokenize sentences in languages other than English.
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3. Write a Python NLTK program to create a list of words from a given string.
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4. Write a Python NLTK program to split all punctuation into separate tokens.
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5. Write a Python NLTK program to tokenize words, sentence wise.
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6. Write a Python NLTK program to tokenize a twitter text.
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7. Write a Python NLTK program to remove Twitter username handles from a given twitter text.
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8. Write a Python NLTK program that will read a given text through each line and look for sentences. Print each sentence and divide two sentences with "==============".
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9. Write a Python NLTK program to find parenthesized expressions in a given string and divides the string into a sequence of substrings.
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More to Come !
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Python: Tips of the Day
F strings:
It is a common practice to add variables inside strings. F strings are by far the coolest way of doing it. To appreciate the f strings more, let's first perform the operation with the format function.
name = 'Owen' age = 25 print("{} is {} years old".format(name, age))
Output:
Owen is 25 years old
We specify the variables that go inside the curly braces by using the format function at the end. F strings allow for specifying the variables inside the string.
name = 'Owen' age = 25 print(f"{name} is {age} years old")
Output:
Owen is 25 years old
F strings are easier to follow and type. Moreover, they make the code more readable.
A, B, C = {2, 4, 6} print(A, B, C) A, B, C = ['p', 'q', 'r'] print(A, B, C)
Output:
2 4 6 p q r
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