Python Program for Word Analysis
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Questions and Answers

What is the purpose of the ngrams() function ?

  • To print the generated n-grams
  • To smooth the generated n-grams
  • To generate n-grams from a list of tokens with a specified value of n (correct)
  • To tokenize the input text into words

What is the purpose of the generate_ngrams() function?

  • To print the generated n-grams
  • To generate n-grams from the input text and store them in a list (correct)
  • To tokenize the input text into words
  • To smooth the generated n-grams

What is the purpose of the word_tokenize() function from the nltk module?

  • To convert the input text into a list of words (tokens) (correct)
  • To generate n-grams from a list of tokens
  • To smooth the generated n-grams
  • To print the generated n-grams

What is the value of the ngrams_list variable after executing the line ngrams_list = generate_ngrams(text, n)?

<p>A list of n-grams generated from the user-provided text with the specified value of n (D)</p> Signup and view all the answers

What is the purpose of the line n = int(input("Enter the value of n for n-gram generation: ")?

<p>To prompt the user to enter the value of n for n-gram generation and convert it to an integer (C)</p> Signup and view all the answers

Flashcards

ngrams() function

Generates sequences of 'n' items from a list of tokens.

generate_ngrams() function

Generates n-grams from text and stores them in a list.

word_tokenize() function

Splits text into individual words (tokens).

ngrams_list variable

A list containing n-grams created from the input text.

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Input for n

Asks for user input to determine the 'n' value for n-grams.

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Study Notes

Word Analysis in Python

  • The program uses NLTK library for word analysis
  • It prompts the user to enter a sentence or text for analysis
  • The input text is tokenized using the word_tokenize function
  • A frequency distribution object is created using the FreqDist function
  • The program prints the five most common words and their frequency using the most_common method

Word Generation in Python

  • The program generates text based on user input
  • It prompts the user to enter a text and the number of words to generate
  • The input text is tokenized and an nltk.Text object is created
  • The generate method is used to generate text with the specified length
  • The generated text is printed to the console

Morphology in Python

  • The program uses NLTK library for morphology
  • The WordNet corpus is downloaded using nltk.download
  • The WordNetLemmatizer and word_tokenize classes are imported from NLTK
  • The program prompts the user to enter a sentence and lemmatizes each token
  • The lemmatized tokens are printed to the console

N-Grams in Python

  • The program generates n-grams from user input
  • The ngrams function is used to generate n-grams from tokenized text
  • The program prompts the user to enter a text and the value of n for n-gram generation
  • The generated n-grams are printed to the console

N-Gram Smoothing in Python (Note: The text does not provide a program for n-gram smoothing)

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Description

Learn how to write a Python program for Word Analysis using the nltk library. The program involves importing necessary modules, tokenizing words, and analyzing word frequency.

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