NLP-WEEK2-B1
Authored by Prashanthi Prashanthi
Engineering
University
Used 2+ times
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10 questions
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1.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
What is stemming in NLP?
Assigning sentiment scores to words
Analyzing grammatical structure
Reducing words to their base or root form
Identifying named entities
2.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
In Python's NLTK library, what function is used for stop word removal?
remove_stopwords()
stopwords.remove()
nltk.corpus.stopwords.words()
nltk.remove_stopwords()
3.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
which NLP technique involves reducing words to their root form by removing suffixes and prefixes,even if the result is not a valid word
stemming
pats-of-speech
sentiment analysis
NER
4.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
In NLP what is the purpose of "stopwords"
To improve the text readability
To identify the sentiment of a text
To group words into topics
To perform machine translation
5.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
What is the primary goal of Information Retrieval in NLP
To recognise and classify named entities
To identify the sentiment of a text
To retrieve relevant documents based on user queries
To perform Tokenization
6.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
The root form of a word in Wordnet dictionary is called
stem
sense
gloss
lemma
7.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
In NLP, The process of removing words like “and”, “is”, “a”, “an”, “the” from a sentence is called as
stemming
lemmatization
stopwords
all of the above
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