Nlp(Computer Science ) Questions and Answers

Question 1. What are the names of lecturers in this NLP part?
  1.    Stefan Kosztolanyi
  2.    Sebastian Poliak
  3.    Martin Smira
  4.    Both A & B
Explanation:-
Answer: Option D. -> Both A & B

Question 2. Which of these are enghlish stopwords?
  1.    'i', 'me', 'my', 'myself'
  2.    'about', 'against', 'between', 'into'
  3.    'happy', 'sad', 'angry', ' 'amazing'
  4.    Both A & B
Explanation:-
Answer: Option D. -> Both A & B

Question 3. Which are multiple word sequences?
  1.    Tokenization
  2.    Ngrams
  3.    Stopwords
  4.    Corpus
Explanation:-
Answer: Option B. -> Ngrams

Question 4. What does NLP stand for? Write what the acronym means
  1.    Natural Language Processing
  2.    Nationwide Loan Processing
  3.    Netware Lite Protocol
  4.    None of these
Explanation:-
Answer: Option A. -> Natural Language Processing

Question 5. Why we use named entity recognition in NLP?
  1.    Classify entities into predefined labels
  2.    Creating a set of vocabularies
  3.    Breaking sentences into words
  4.    None
Explanation:-
Answer: Option A. -> Classify entities into predefined labels

Question 6. N-grams are defined as the combination of N keywords together
  1.    7
  2.    8
  3.    9
  4.    10
Explanation:-
Answer: Option C. -> 9

Question 7. What is the field of Natural Language Processing (NLP)?
  1.    Computer Science
  2.    Artificial Intelligence
  3.    Linguistics
  4.    All of the mentioned
Explanation:-
Answer: Option D. -> All of the mentioned

Question 8. Which of the following sense for the word “language” is not available in wordnet? i
  1.    3
  2.    5
  3.    4
  4.    None of these
Explanation:-
Answer: Option C. -> 4

Question 9. ____________ is a Python library to make programs that work with natural language
  1.    NLTK
  2.    Pandas
  3.    Seaborn
  4.    BeautifulSoup
Explanation:-
Answer: Option A. -> NLTK

Question 10. Tick whichever is an application Named Entity Recognition (NER)
  1.    Classifying content for NEWS providers
  2.    Efficient Search Algorithms
  3.    Analysis the rude behavior from customer feedback
  4.    All of above
Explanation:-
Answer: Option D. -> All of above