Hướng dẫn dùng phrase synonym python
Wordnet is an NLTK corpus reader, a lexical database for English. It can be used to find the meaning of words, synonym or antonym. One can define it as a semantically oriented dictionary of English. It is imported with the following command: Nội dung chính from nltk.corpus import wordnet as guru Stats reveal that there are 155287 words and 117659 synonym sets included with English WordNet. Different methods available with WordNet can be found by typing dir(guru) [‘_LazyCorpusLoader__args’, ‘_LazyCorpusLoader__kwargs’, ‘_LazyCorpusLoader__load’, ‘_LazyCorpusLoader__name’, ‘_LazyCorpusLoader__reader_cls’, ‘__class__’, ‘__delattr__’, ‘__dict__’, ‘__dir__’, ‘__doc__’, ‘__eq__’, ‘__format__’, ‘__ge__’, ‘__getattr__’, ‘__getattribute__’, ‘__gt__’, ‘__hash__’, ‘__init__’, ‘__le__’, ‘__lt__’, ‘__module__’, ‘__name__’, ‘__ne__’, ‘__new__’, ‘__reduce__’, ‘__reduce_ex__’, ‘__repr__’, ‘__setattr__’, ‘__sizeof__’, ‘__str__’, ‘__subclasshook__’, ‘__unicode__’, ‘__weakref__’, ‘_unload’, ‘subdir’, ‘unicode_repr’] Let us understand some of the features available with the wordnet: Synset: It is also called as synonym set or collection of synonym words. Let us check a example from nltk.corpus import wordnet syns = wordnet.synsets("dog") print(syns) Output: [Synset('dog.n.01'), Synset('frump.n.01'), Synset('dog.n.03'), Synset('cad.n.01'), Synset('frank.n.02'), Synset('pawl.n.01'), Synset('andiron.n.01'), Synset('chase.v.01')] Lexical Relations: These are semantic relations which are reciprocated. If there is a relationship between {x1,x2,…xn} and {y1,y2,…yn} then there is also relation between {y1,y2,…yn} and {x1,x2,…xn}. For example Synonym is the opposite of antonym or hypernyms and hyponym are type of lexical concept. Let us write a program using python to find synonym and antonym of word “active” using Wordnet. from nltk.corpus import wordnet synonyms = [] antonyms = [] for syn in wordnet.synsets("active"): for l in syn.lemmas(): synonyms.append(l.name()) if l.antonyms(): antonyms.append(l.antonyms()[0].name()) print(set(synonyms)) print(set(antonyms)) The output of the code: {‘dynamic’, ‘fighting’, ‘combat-ready’, ‘active_voice’, ‘active_agent’, ‘participating’, ‘alive’, ‘active’} — Synonym {‘stative’, ‘passive’, ‘quiet’, ‘passive_voice’, ‘extinct’, ‘dormant’, ‘inactive’} — Antonym Explanation of the code
Conclusion: WordNet is a lexical database that has been used by a major search engine. From the WordNet, information about a given word or phrase can be calculated such as
WordNet also provides information on co-ordinate terms, derivates, senses and more. It is used to find the similarities between any two words. It also holds information on the results of the related word. In short or nutshell one can treat it as Dictionary or Thesaurus. Going deeper in wordnet, it is divided into four total subnets such as
It can be used in the area of artificial intelligence for text analysis. With the help of Wordnet, you can create your corpus for spelling checking, language translation, Spam detection and many more. In the same way, you can use this corpus and mold it to work some dynamic functionality. This is just like ready to made corpus for you. You can use it in your way. Text Mining — Extracting Synonyms and AntonymsPhoto by micah boswell on UnsplashLanguage analysis can be carried out in many ways. In this blog, we will see how to extract Synonyms and Antonyms from the text using Natural Language Processing(NLTK) WordNet library. Source: Vincent RussoThe WordNet is a part of Python’s Natural Language Toolkit. It is a large collection of words and vocabulary from the English language that are related to each other and are grouped in some way. A collection of similar words is called lemmas. Also, It’s a combination of dictionary and thesaurus. It is used for automatic text analysis and artificial intelligence applications. It supports many other languages in its collection. Please check for more information about WordNet here Nouns, verbs, adjectives, and adverbs are grouped into sets of cognitive synonyms (synsets), each expressing a distinct concept. Synsets are interlinked by means of conceptual-semantic and lexical relations. Let’s see some examples To find the meaning of the wordCodeImport NLTK library and install Wordnet import nltk In this example, we will see how wordnet returns meaning and other details of the word. Let’s go ahead and look up the word “travel” Sometimes, if some examples are available, it may also provide that. #Checking the word "Teaching"syn = wordnet.synsets(“teaching”) Output[Synset('teaching.n.01'), We can see that “TEACHING” has five meanings. Let’s find the first sense to get a better understanding of the kind of information each synset contains. We can do this by indexing the first element at its name. n, v represents Parts of speech tagging. Code# Printing the Synonym, meaning and example of "teaching" for the first two indexes#First Indexprint(‘Word and Type : ‘ + syn[0].name()) Output# Output for first indexWord and Type : teaching.n.01 SynonymsWe can use Code#Checking synonym for the word "travel" Output{'trip', 'locomote', 'jaunt', 'change_of_location', 'go', 'traveling', 'travelling', 'locomotion', 'travel', 'move', 'journey', 'move_around'} We can see the synonyms for the word ‘travel’ from the above output. AntonymsCode#Checking antonym for the word "increase" Output{'decrement', 'decrease'} WordNet has other feature called word similarity. It helps us check the similarity between two words that I didn’t cover in this blog. Thanks for reading. Keep learning and stay tuned for more! How do I get synonyms for NLP?How to get synonyms of a particular word from wordnet in nlp. Step 1 - Import the necessary libraries. from nltk.corpus import wordnet.. Step 2 - Find the Sysnsets of words. My_sysn = wordnet.synsets("fight") ... . Step 3 - Print the result.. How do I find synonyms for a word?Using the thesaurus, you can look up synonyms (different words with the same meaning) and antonyms (words with the opposite meaning). Tip: In the desktop versions of Word, PowerPoint, and Outlook, you can get a quick list of synonyms by right-clicking a word and choosing Synonyms. Which key is used to find synonyms?A thesaurus is a software tool included with some word processors that provides synonyms for selected words on command. Users using Microsoft Word can open a thesaurus by highlighting the word they want to look up and pressing the shortcut key Shift+F7. |