Questão de TI - Ciência de Dados e Inteligência Artificial — NLTK (Natural Language Toolkit) — CESPE / CEBRASPE 2024
TI - Ciência de Dados e Inteligência ArtificialNLTK (Natural Language Toolkit)
- Código
- ce403764
- Banca
- CESPE / CEBRASPE
- Órgão
- SEBRAE
- Ano
- 2024
- Cargo
- Ana Tec II ( )
import nltk from nltk.stem import PorterStemmer, WordNetLemmatizer nltk.download("punkt") nltk.download('wordnet') lemmatizer = WordNetLemmatizer() ps = PorterStemmer() example_words = ["program","programming","programer","programs", "programmed"] print("".format("--Word--","--Stem--","--Lemma")) for word in example_words: print ("{0:20}{1:20}{2:20}".format(word, ps.stem(word), lemmatizer.lemmatize(word))) Assinale a opção que corresponde à correta execução do código precedente, escrito em Python.
- A-Word-- --Stem-- --Lemma program program program programming programming program programer programer program programs program program programmed programmed program
- B--Word-- --Stem-- --Lemma program program program programming program programming programer program programer programs program program programmed program programmed
- Cprogram program program programming program programming programer program programer programs program program programmed program programmed
- D--Word-- --Stem-- --Lemma program program program --Word-- --Stem-- --Lemma programming program programming --Word-- --Stem-- --Lemma programer program programer --Word-- --Stem-- --Lemma programs program program --Word-- --Stem-- --Lemma programmed program programmed