
NLP in AI
Authored by Husna Husin
Computers
University
Used 19+ times

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15 questions
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1.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
What is the primary goal of natural language processing?
Translating languages
Understanding and generating human language
Analyzing data patterns
Creating conversational agents
2.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
Which library in Python is commonly used for NLP tasks?
NumPy
TensorFlow
NLTK
Matplotlib
3.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
Stop Words are words which do not contain important significance to be used in Search Queries. Usually, these words are filtered out from search queries because they return a vast amount of unnecessary information. Mostly they are words that are commonly used in English language such as 'as, the, be, are' etc.
True
False
4.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
_____ reduces the inflected words properly ensuring that the root word is the dictionary form. For example, runs, running, ran are all forms of the word run.
Named-entity recognition (NER)
Lemmatization
Stemming
Part-of-speech (POS) tagging
5.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
__________is breaking a text chunk into smaller parts. E.g., breaking a paragraph into sentences, sentence into words or word into characters.
Named-entity recognition (NER)
Tokenization
Stemming
Part-of-speech (POS) tagging
6.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
What is the purpose of tokenization in NLP?
Identifying parts of speech
Removing stop words
Breaking text into words or phrases
Analyzing sentiment
7.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
What is stemming in NLP?
Reducing words to their base or root form
Assigning sentiment scores to words
Analyzing grammatical structure
Identifying named entities
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