In which condition automatic summarization is relevant?

by Smruti (21.0k points) in Natural Language Processing asked Jun 6, 2022 208 views

1 1

Topic	Natural Language Processing (AI Domain)
Type	Short answer type
Class	10

domains-of-ai
nlp
short-answer

1 like 0 dislike

Please log in or register to add a comment.

Please log in or register to answer this question.

1 Answer

by Smruti (21.0k points) answered Jun 6, 2022

Automatic summarization is especially relevant when used to provide an overview of a news item or blog post while avoiding redundancy from multiple sources and maximizing the diversity of content obtained.

Study more about Natural Language Processing at Natural Language Processing Class 10

0 like 0 dislike

Please log in or register to add a comment.

← Prev Question Next Question →

Important Update - Full Class 10th AI Lectures Playlist

Related questions

by Smruti (21.0k points) in Natural Language Processing asked Jun 6, 2022 1.4k views

Information overload is a real problem when we need to access a specific, important piece of information from a huge knowledge base. Automatic summarization is relevant not only for summarizing the meaning of documents and information..

domains-of-ai
nlp
long-answer

1 like 0 dislike

1 answer

by Satwik (18.2k points) in Natural Language Processing asked Jun 10, 2022 201 views

What is an example of automatic summarization?

nlp
term-2
class-10
short-answer
subjective

0 like 0 dislike

1 answer

by Smruti (21.0k points) in Natural Language Processing asked Jun 6, 2022 405 views

Which NLP applications access our data, they can help us in keeping notes of our tasks, make calls for us, send messages and a lot more? Explain this NLP application in detail.

domains-of-ai
nlp
short-answer

0 like 0 dislike

1 answer

by Smruti (21.0k points) in Natural Language Processing asked Jun 5, 2022 497 views

Gagan is working on NLP model. Observe the following words and write the step which is being followed for them:

domains-of-ai
nlp
short-answer

1 like 0 dislike

1 answer

by Smruti (21.0k points) in Natural Language Processing asked Jun 5, 2022 479 views

Mr. Dimpesh Chavda is an English teacher. He suggested to remove the frequently used words which do not add any value to the paragraph. If someone wants to do this using NLP. Suggest the term is used for these types of words.

domains-of-ai
nlp
short-answer

1 like 0 dislike

1 answer

by Satwik (18.2k points) in Natural Language Processing asked Jun 1, 2022 378 views

Raunak is working on NLP model. Observe the following words and write the step which is being followed for them: HELLO, HeLLO, HElLO, heLLO, HeLLo, hEllo

nlp
term-2
domains-of-ai
short-answer

2 like 0 dislike

1 answer

by Satwik (18.2k points) in Natural Language Processing asked Jun 10, 2022 365 views

What are the features of automatic summarization?

nlp
short-answer
class-10
term-2

1 like 0 dislike

1 answer

by Smruti (21.0k points) in Other asked May 26, 2022 234 views

Which package is used for Natural Language Processing in Python programming?

nlp
domains-of-ai
short-answer

2 like 0 dislike

1 answer

by Smruti (21.0k points) in Natural Language Processing asked Jun 4, 2022 1.3k views

The virtual assistants like Siri, Cortana, google assistant etc. can be taken as which type of chatbots?

domains-of-ai
nlp
short-answer

2 like 0 dislike

1 answer

by Smruti (21.0k points) in Natural Language Processing asked Jun 12, 2022 290 views

Explain the role of NLP in the sentiment analysis of human beings

domains-of-ai
nlp
short-answer

1 like 0 dislike

1 answer

Welcome to Aiforkids, where you can ask questions and receive answers from other members of the community.

AI 2024 Class 10 Board Exams mein 100% laane ka plan OPEN NOW

Class 10 Complete One Shot AI Lectures at - Youtube

1.5k questions

1.4k answers

4 comments

11.5k users

In which condition automatic summarization is relevant?

Please log in or register to add a comment.

Please log in or register to answer this question.

1 Answer

Please log in or register to add a comment.

Related questions

Categories

Related questions