Class 10 Exam  >  Class 10 Notes  >  Artificial Intelligence for Class 10  >  Subjective Type Questions - Natural Language Processing

Subjective Type Questions - Natural Language Processing | Artificial Intelligence for Class 10 PDF Download

Q.1. What is NLP?  

NLP is the domain of Artificial Intelligence, which deals with the language based interaction between humans and machines as well as between two machines.

Q.2. What is the full form NLP?

NLP stands for Natural Language Processing.


Q.3. Write the name of one domain of AI? 

Natural Language Processing (NLP)

Note: Two more are Data Science and Computer Vision


Q.4. Is NLP only a domain of AI? 

NLP is  not only domain of AI but a sub-field of computer science, information technology disciplines such as engineering and communications, and liguistics.


Q.5. What is linguistics? 

Studies related with languages and speech is known as linguistics.


Q.6. What is main focus of NLP? 

The main focus of NLP is to enable machines decode, interpret and process human language and speech for various purposes, basically being able to respond back in the desired pattern.


Q.7. What is the intention of NLP? 

The main intention of NLP to bridge the gap between human language and the way computer understand it.


Q.8. Where is the NLP used? OR Write the name of four areas where NLP is used.  

NLP has tremendous use in all the industries where human interactions are involved. For example, Customer Supper System, Enquiry handling, Education, Counselling, Consultation, Crime detection through voice processing, Voice User Interface (Voice Commands), Public alert and addressing systems, Language translations and interpretation service, Voice chats, Multilingual chat bots, Media and Communication, Entertainment, etc.


Q.9. What are the application of NLP?  

Application of NLP are – 

(a) Virtual Assistants 

(b) Social Media Monitoring 

(c) Customer Support System 

(d) Smart Application Features 

(e) Healthcare and Diagnostics 

(f) Healthcare and Training.


Q.10. What is Virtual Assistants? Write its two characteristics.  

Virtual Assistant is one of the most common applications of NLP. Virtual Assistants is available in the form of Application only or a combination of device loaded with application. 

Characteristics of Virtual Assistants (VA): 

(i) VA helps in performing our tasks easily and quickly. 

(ii) VA helps in multi-tasking. It means VAs works their assigned task, during that you can do your own other work. 

(iii) VAs access our data to accomplish the assigned task. 

(iv) Generally Virtual Assistants works on voice command.


Q.11. Which keyword is used to activate Virtual Assistant.  

The most common keyword to activate Virtual Assistant is “wake word”.


Q.12. Which keyword is used to activate Amazon Alexa.  

Alexa


Q.13. Write four example of Virtual Assistants. 

Some popular Virtual Assistants are –
(a) Amazon Alexa
(b) Google Assistant
(c) Microsoft Cortona
(d) Apple Siri


Q.14. How Virtual Assistants works. 

Virtual Assistant runs on the algorithm which can interpret the voice commands and detect our speech in the database. On the basis of the interpretation and algorithm, VAs initiate the work. They can upgrade themselves with new skills, to provide better services.


Q.15. Which algorithm is used for Social Media Monitoring? 

Deep Learning algorithm in NLP technique is used for Social Media Monitoring.


Q.16. What is the basic difference between voice recognition and speech recognition? 

Voice recognition is recognising the voice of the speaker while Speech recognition is recognising the words said.


Q.17. What are the purposes of monitoring Social Media content? At least write four purposes.

Social media is an endless sea of words and growing at every passing moment. The main purposes of monitoring / analysing Social Media content are –
(i) Mass Sentiment Analysis
(ii) Customer Satisfaction Analysis
(iii) Tracking popularity index  
(iv) Monitoring trending
(v) Tracking threats, Targeted digital marketing.


Q.18. How NLP is useful in Customer Support System?

In these days, customer support system is the instant. It is in two form – chat or call. 

Over a call, an interactive voice response system, enabled with NLP-AI algorithm, is talking in a natural human voice and understands what has been spoken.  Work as Digital Assistant. 

On website, customer support system is popup in the form of chat, when you start any popular website. This is a smart chat bot. It is know as chat assistant.


Q.19. What is a Smart form validation? 

Smart form validation is performing intuitive checks on the data entered by the user and providing appropriate suggestion.


Q.20. What is a Spelling assistance? 

Spelling assistance is an application which autocorrect the spelling mistake depending on the context and location.


Q.22. What is a Smart drafting? 

Suggesting next word while typing the content, called Smart drafting.


Q.23. What is a Smart Search? 

Smart search is a feature of search auto complete in which search terms are suggested as you type depending on your previous searches, location and context of the search.


Q.24. How Smart Search is helpful in E-commerce? 

Smart search feature is integrated in many E-Commerce sites to add product specific keywords depending on the customers buying history to facilitate deeper search and list more relevant items.


Q.25. What is Machine translation? How is it useful? 

Machine translation is an intelligent NLP application, which perform context based accurate translation of the text from one language to other language. 

It bridges the cultural and language gap among people and helps in the development of global culture.


Q.26. How many stages are AI Project Cycle of NLP?

5


Q.27. Write all stages of AI Project Cycle of NLP?

There are five stages of NLP AI project cycle. 

These are
(i) Problem Scoping using 4W framework
(ii) Data Acquisition
(iii) Data Exploration
(iv) Modeling
(v) Evaluation


Q.28. What is problem scoping?

Problem scoping means analysing the business process, to identify the cause of problem. During problem scoping, information is gathered by speaking with people, read documents, and other source.


Q.29. What is 4W framework?

In 4W framework, 4W stands for Who, What, Where and Why. This 4W framework can be used with problem scoping stage, It helps in gathering the information.


Q.30. Who are the stakeholders? How can you identify them?

The people who are facing the problem and the people who will affected by the solution of the problem, are called Stakeholder,

Stakeholders are identified by checking the impact of problems and solution on the people directly or indirectly.

The document Subjective Type Questions - Natural Language Processing | Artificial Intelligence for Class 10 is a part of the Class 10 Course Artificial Intelligence for Class 10.
All you need of Class 10 at this link: Class 10
40 videos|35 docs|6 tests

Top Courses for Class 10

40 videos|35 docs|6 tests
Download as PDF
Explore Courses for Class 10 exam

Top Courses for Class 10

Signup for Free!
Signup to see your scores go up within 7 days! Learn & Practice with 1000+ FREE Notes, Videos & Tests.
10M+ students study on EduRev
Related Searches

Previous Year Questions with Solutions

,

Subjective Type Questions - Natural Language Processing | Artificial Intelligence for Class 10

,

past year papers

,

pdf

,

Free

,

video lectures

,

Objective type Questions

,

Sample Paper

,

Extra Questions

,

shortcuts and tricks

,

ppt

,

study material

,

Subjective Type Questions - Natural Language Processing | Artificial Intelligence for Class 10

,

mock tests for examination

,

MCQs

,

practice quizzes

,

Subjective Type Questions - Natural Language Processing | Artificial Intelligence for Class 10

,

Important questions

,

Exam

,

Semester Notes

,

Summary

,

Viva Questions

;