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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, but also to understand the emotional meanings within the information, such as in collecting data from social media. 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.

For the situation given above:-

1. What do you understand by automatic summarization?

2. In which condition automatic summarization is relevant?

3. Prepare a problem statement for the given situation.

Topic   Natural Language Processing (AI Domain)
Type  Long answer type
Class 10
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1 Answer

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Ans1:-  Automatic Summarization is relevant not only for summarizing the meaning of documents and information but also for understanding the emotional meanings within the information such as collecting data from social media.

Ans2:- 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.

Ans3:- The problem statement for the given situation is as follows:

Our Internet users and Social Media Users Who?
Have a problem Overloaded information and accessing specific pieces of information from a knowledge base What?
while a news item or blog post or multiple sources of information Where?
An ideal solution would be  to provide a platform to summarize the information needed Why?

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

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