NLP-WEEK2-B2

Which of the following techniques can be used for keyword normalization in NLP, the process of converting a keyword into its base form?

• a. Lemmatization
  
  
  

• b. Soundex

• c. Cosine Similarity

• d. N-grams

What are the possible features of a text corpus in NLP?

• a. Count of the word in a document
  
  
  
  

• b. Vector notation of the word

• c. Part of Speech Tag

• d. Basic Dependency Grammar

• e. All of the above

Which one of the following is keyword Normalization techniques in NLP

• a. Stemming
  
  
  

• b. Part of Speech

• c. Named entity recognition

• d. Lemmatization

Which of the below are NLP use cases?

• a. Detecting objects from an image
  
  
  

• b. Facial Recognition

• c. Speech Biometric

• d. Text Summarization

In NLP, The process of removing words like “and”, “is”, “a”, “an”, “the” from a sentence is called as

• a. Stemming
  
  
  

• b. Lemmatization

• c. Stop word

• d. All of the above

Identify the odd one out

• 
  a. scikit learn
  
  

• b. SpaCy

• c. BERT

• d. nltk

In linguistic morphology _____________ is the process for reducing inflected words to their root form.

• a) Rooting
  
  
  

• b) Stemming

• c) Text-Proofing

• d) Both Rooting & Stemming

In a language, it is usual to have a word with more than one meaning even within its semantic class (polysemy). Which of the following tasks would help us in choose the right meaning as per the context in which the word is used?

• (a) Lemmatization
  
  
  

• (b) Word Sense Disambiguation

• (c) Stemming

• (d) Discourse analysis

Which of the following is an example of a text classification task?

• a) Named entity recognition
  
  
  

• b) Sentiment analysis

• c) Part-of-speech tagging

• d) Tokenization

In which step of the Porter Stemmer Algorithm are suffixes like "ATIONAL" transformed into "ATE"?

• It changes a vowel followed by 'Y' to 'I'.

• Step 3

• Step 2

• It is removed.