NLTK corpus: Find the sets of synonyms and antonyms of a given word
NLTK corpus: Exercise-7 with Solution
Write a Python NLTK program to find the sets of synonyms and antonyms of a given word.
From Wikipedia,
WordNet is a lexical database for the English language. It groups English words into sets of synonyms called synsets, provides short definitions and usage examples, and records a number of relations among these synonym sets or their members.
Sample Solution:
Python Code :
from nltk.corpus import wordnet
synonyms = []
antonyms = []
for syn in wordnet.synsets("end"):
for l in syn.lemmas():
synonyms.append(l.name())
if l.antonyms():
antonyms.append(l.antonyms()[0].name())
print("\nSet of synonyms of the said word:")
print(set(synonyms))
print("\nSet of antonyms of the said word:")
print(set(antonyms))
Sample Output:
Defination of the said word: a hostile meeting of opposing military forces in the course of a war Examples of the word in use:: ['Grant won a decisive victory in the battle of Chickamauga', 'he lost his romantic ideas about war when he got into a real engagement']
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Next: Write a Python NLTK program to get the overview of the tagset, details of a specific tag in the tagset and details on several related tagsets, using regular expression.
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Find current directory and file's directory:
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Documentation references for the modules, constants and functions used above:
- The os and os.path modules.
- The __file__ constant
- os.path.realpath(path) (returns "the canonical path of the specified filename, eliminating any symbolic links encountered in the path")
- os.path.dirname(path) (returns "the directory name of pathname path")
- os.getcwd() (returns "a string representing the current working directory")
- os.chdir(path) ("change the current working directory to path")
Ref: https://bit.ly/3fy0R6m
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