NLP

from nltk.tokenize import word_tokenize

mytext = "Hello Mr. Adam, how are you? I hope everything is going well. Today is a good day, see you dude."

print(word_tokenize(mytext))

from nltk.corpus import wordnet

syn = wordnet.synsets("pain")

print(syn[0].definition())

print(syn[0].examples())

from nltk.corpus import wordnet

syn = wordnet.synsets("NLP")

print(syn[0].definition())

syn = wordnet.synsets("Python")

print(syn[0].definition())

from nltk.corpus import wordnet

synonyms = []

for syn in wordnet.synsets('Computer'):

for lemma in syn.lemmas():

synonyms.append(lemma.name())

print(synonyms)

from nltk.corpus import wordnet

antonyms = []

for syn in wordnet.synsets("small"):

for l in syn.lemmas():

if l.antonyms():

antonyms.append(l.antonyms()[0].name())

print(antonyms)

from nltk.stem import PorterStemmer

stemmer = PorterStemmer()

print(stemmer.stem('working'))

from nltk.stem import SnowballStemmer

print(SnowballStemmer.languages)

from nltk.stem import SnowballStemmer

french_stemmer = SnowballStemmer('french')

print(french_stemmer.stem("French word"))

from nltk.stem import PorterStemmer

stemmer = PorterStemmer()

print(stemmer.stem('increases'))

from nltk.stem import WordNetLemmatizer

lemmatizer = WordNetLemmatizer()

print(lemmatizer.lemmatize('increases'))

from nltk.stem import WordNetLemmatizer

lemmatizer = WordNetLemmatizer()

print(lemmatizer.lemmatize('playing', pos="v"))