Page 395 - AI Ver 3.0 class 10_Flipbook
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c. The complete set of words and their meanings
d. The understanding of word context
2. What does AI enable machines to do in NLP?
a. To recognise images
b. To handle complex language, including semantics (meanings), context, and structure
c. To make decisions based on data
d. To create new languages
3. What can personal assistant applications like Siri and Alexa do?
a. Only play music
b. Only send messages
c. Perform a variety of tasks such as setting alarms, playing music, and booking appointments
d. Perform complex calculations
4. When a system rejects a phrase like “cruel kindness” because it doesn’t make sense, which NLP stage is being applied?
a. Pragmatic Analysis b. Syntactic Analysis
c. Semantic Analysis d. Sentiment Analysis
5. In which NLP stage is real-world knowledge applied to understand the actual meaning of a sentence?
a. Pragmatic Analysis b. Syntactic Analysis
c. Lexical Analysis d. Sentiment Analysis
6. What does TFIDF stand for?
a. Total Frequency and Inverse Document Factor
b. Term Frequency and Inverse Document Frequency
c. Text Frequency and Inverse Data Frequency
d. Time Frequency and Inverse Data Frequency
7. Which step in text processing creates a list of all unique words in the normalised corpus?
a. Text Normalisation b. Stemming
c. Create Dictionary d. Create Document Vectors
8. Which term refers to the number of documents in which a specific word appears, irrespective of how many times it
occurs in those documents?
a. Word Frequency b. Term Frequency
c. Document Frequency d. Inverse Document Frequency
B. Fill in the blanks.
1. Chat means ………………………. while bot means ………………………..
2. ………………………. is a free, open-source library for Natural Language Processing (NLP) in Python.
3. ………………………. is an open-source NLP library designed for topic modelling and document similarity analysis.
4. A ………………………. can be any word or number or special character that forms a part of a sentence.
5. The entire set of text from all the documents altogether is known as ………………………..
6. Google Assistant, Alexa, Cortana, are best examples of ………………………..
7. ………………………. and ………………………. are the types of chatbots.
8. In ………………………. the selected text, phrases, sentences or sections are extracted from the scattered resources and
joined appropriately to form a concise summary.
Natural Language Processing (Theory) 393

