How to get synonyms from nltk WordNet Python

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WordNet is great, but I'm having a hard time getting synonyms in nltk. If you search similar to for the word 'small' like here, it shows all of the synonyms.

Basically I just need to know the following: wn.synsets('word')[i].option() Where option can be hypernyms and antonyms, but what is the option for getting synonyms?

If you want the synonyms in the synset (aka the lemmas that make up the set), you can get them with lemma_names():

>>> for ss in wn.synsets('small'):
>>>     print(ss.name(), ss.lemma_names())

small.n.01 ['small']
small.n.02 ['small']
small.a.01 ['small', 'little']
minor.s.10 ['minor', 'modest', 'small', 'small-scale', 'pocket-size',  'pocket-sized']
little.s.03 ['little', 'small']
small.s.04 ['small']
humble.s.01 ['humble', 'low', 'lowly', 'modest', 'small']    
...

How to get synonyms/antonyms from NLTK WordNet in Python , If you want the synonyms in the synset (aka the lemmas that make up the set), you can get them with lemma_names() : >>> for ss in  The synset is already a list of synonyms. If you look at wn.synsets('small'), it has the exact same top-level members as the web page. – abarnert Oct 8 '13 at 21:25. Also, wn.synsets('word')[i].hypernyms is just going to return you a bound method; I think you wanted a () at the end… – abarnert Oct 8 '13 at 21:26.

You've already got the synonyms. That's what a Synset is.

>>> wn.synsets('small')
[Synset('small.n.01'),
 Synset('small.n.02'),
 Synset('small.a.01'),
 Synset('minor.s.10'),
 Synset('little.s.03'),
 Synset('small.s.04'),
 Synset('humble.s.01'),
 Synset('little.s.07'),
 Synset('little.s.05'),
 Synset('small.s.08'),
 Synset('modest.s.02'),
 Synset('belittled.s.01'),
 Synset('small.r.01')]

That's the same list of top-level entries that the web interface gave you.

If you also want the "similar to" list, that's not the same thing as the synonyms. For that, you call similar_tos() on each Synset.

So, to show the same information as the website, start with something like this:

for ss in wn.synsets('small'):
    print(ss)
    for sim in ss.similar_tos():
        print('    {}'.format(sim))

Of course the website is also printing the part of speech (sim.pos), list of lemmas (sim.lemma_names), definition (sim.definition), and examples (sim.examples) for each synset at both levels. and it's grouping them by parts of speech, and it's added in links to other things that you can follow, and so forth. But that should be enough to get you started.

How to get synonyms from nltk WordNet Python, What is Wordnet? Wordnet is an NLTK corpus reader, a lexical database for English. It can be used to find the meaning of words, synonym or  How to get synonyms/antonyms from NLTK WordNet in Python? WordNet is a large lexical database of English. Nouns, verbs, adjectives and adverbs are grouped into sets of cognitive synonyms (synsets), each expressing a distinct concept.

You can use wordnet.synset and lemmas in order to get all the synonyms:

example :

from itertools import chain
from nltk.corpus import wordnet

synonyms = wordnet.synsets(text)
lemmas = set(chain.from_iterable([word.lemma_names() for word in synonyms]))

Demo:

>>> synonyms = wordnet.synsets('change')
>>> set(chain.from_iterable([word.lemma_names() for word in synonyms]))
set([u'interchange', u'convert', u'variety', u'vary', u'exchange', u'modify', u'alteration', u'switch', u'commute', u'shift', u'modification', u'deepen', u'transfer', u'alter', u'change'])

WordNet with NLTK: Finding Synonyms for words in Python, In this tutorial, you will learn how write a program in python to get Synonyms and antonyms from NLTK WordNet. Wordnet is large lexical database. It has groups  In this tutorial, you will learn how write a program in python to get Synonyms and antonyms from NLTK WordNet. Wordnet is large lexical database. It has groups of synonyms with examples. Its useful for automatic text analysis and artificial intelligence applications. It has many other languages in it’s collection.

Simplest program to print the synonyms of a given word

from nltk.corpus import wordnet

for syn in wordnet.synsets("good"):
    for name in syn.lemma_names():
        print(name)

How to find Synonyms and antonyms from NLTK WordNet in Python , from nltk.corpus import wordnet as wn Synsets. Synset : a set of synonyms that share a common meaning. Get all synsets for this word, possibly restricted by POS: Issue 629: wordnet failures when python run with -O optimizations. Wordnet is a corpus, so it is imported from the ntlk.corpus. List of both synonym and antonym is taken as empty which will be used for appending. Synonyms of the word active are searched in the module synsets and are appended in the list synonyms. The same process is repeated for the second one. Output is printed.

This worked for me

wordnet.synsets('change')[0].hypernyms()[0].lemma_names()

WordNet Interface, 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  We can use the downloaded data along with nltk API to fetch the synonyms of a given word directly. To fetch all the hyponyms of a word, we would have to recursively navigate to each node and its synonyms in the wordnet hierarchy. Here is a python script to do that.

NLTK corpus: Find the sets of synonyms and antonyms of a given , In this blog, we will see how to extract Synonyms and Antonyms from the text using Natural Language Processing(NLTK) WordNet library. I need to take an input text file with a one word. I then need to find the lemma_names, definition and examples of the synset of the word using wordnet. I have gone through the book : "Python Text Processing with NLTK 2.0 Cookbook" and also "Natural Language Processing using NLTK" to help me in this direction.

Synonyms and Antonyms in Python, from nltk.corpus import wordnet >>> syn = wordnet.synsets('cookbook')[0] So if you wanted to get all synonyms for a Synset, you could do the following: Copy. WordNet is a lexical database for the English language, which was created by Princeton, and is part of the NLTK corpus. You can use WordNet alongside the NLTK module to find the meanings of words, synonyms, antonyms, and more. Let's cover some examples. First, you're going to need to import wordnet: from nltk.corpus import wordnet

Wordnet with NLTK, wordnet_ic Information Content: Load an information content file from the wordnet_ic corpus. >>> from nltk.corpus import wordnet_ic >>> brown_ic = wordnet_ic.ic('ic-brown.dat') >>> semcor_ic = wordnet_ic.ic('ic-semcor.dat') Or you can create an information content dictionary from a corpus (or anything that has a words() method).

Comments
  • The synset is already a list of synonyms. If you look at wn.synsets('small'), it has the exact same top-level members as the web page.
  • Also, wn.synsets('word')[i].hypernyms is just going to return you a bound method; I think you wanted a () at the end…
  • sorry let me be more specific, I would like to get the similar to option for the first similar adjective. some words include: atomic, subatomic, bantam.
  • OK, Wordnet (and NLTK) is very careful with its terminology. If you want something other than synonyms, searching for synonyms isn't going to help.
  • Also see: stackoverflow.com/questions/19348973/…
  • The OP really ought to mark this answer as correct.
  • The suggestion of this post, that wn.synsets('word') returns the synonyms of "word" is simply wrong. Instead, the function returns a list of the different semantic concepts of "word". The synonyms of a concept resp. synset can be received by wn.synsets('word')[i].lemmas().
  • @charbugs, I agree: this answer is wrong. For example, "wiz" is a synonym of one of the senses of "whiz", i.e. it is a word with a different spelling but the same meaning. If the answer we are commenting on were correct, then the output of wn.synsets('whiz') would include "wiz", but it does not. However, the output of for synset in wn.synsets('whiz'): print synset.lemma_names() does include "wiz".
  • The first import should be 'from itertools import chain'.
  • don't forget: from nltk.corpus import wordnet
  • Does not work when lemma_names() returns nested lists. E.g. it fails for synonyms = wordnet.synsets('test')
  • @Johan That's another problem that you can solve as explained here stackoverflow.com/a/29244327/2867928