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5. What is the purpose of Text Prediction in NLP?
a. Predicti ng stock market trends b. Suggesti ng the next word while typing
c. Forecasti ng weather conditi ons d. Predicti ng lott ery numbers
6. What does Sentiment Analysis involve?
a. Analysing fi nancial data b. Analysing emoti ons within text data
c. Analysing geological patt erns d. Analysing scienti fi c research
7. Which NLP application involves categorizing emails as Primary, Social, or Promotions?
a. Speech Recogniti on b. Text Classifi cati on
c. Conversati onal User Interface d. Spell Check
8. What is a common example of a Spell Checker application?
a. Photoshop b. Microsoft Excel
c. Grammarly d. AutoCAD
9. Which technology is NOT an example of Speech Recognition?
a. Siri b. Google Assistance
c. Photoshop d. Amazon Alexa
10. What does OCR stand for in the context of NLP?
a. Opti cal Character Recogniti on b. Online Chat Repository
c. Organic Code Recogniti on d. Online Character Rendering
Answers
1. (b) 2. (c) 3. (b) 4. (b) 5. (b) 6. (b) 7. (b) 8. (c) 9. (c) 10. (a)
B. Fill in the blanks.
1. Natural Language Processing (NLP) aims to achieve human-like comprehension of _______________.
2. Text Prediction in NLP is commonly used for suggesting the next word while _______________.
3. Speech recognition technology enables devices to understand and interpret _______________
commands.
4. Sentiment Analysis involves analysing emotions within _______________ data.
5. A common example of a Spell Checker application mentioned in the chapter is _______________.
6. Text Classification in NLP categorises content into different ______________ such as spam or not spam.
7. The process of identifying a problem and the vision to solve it is part of the _______________ stage in
NLP project development.
8. One of the applications of Chatbots in the banking industry is solving customer queries about
_______________ banking.
Answers
1. text 2. typing 3. spoken 4. text
5. Grammarly 6. categories 7. problem scoping 8. online
C. State ‘T’ for True or ‘F’ for False statements.
1. Microsoft Word uses NLP to check the grammatical accuracy of texts.
2. Conversational User Interface is a term used for interfaces that mimic human-like conversations.
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