Summarize the key points about summarization applications mentioned in the following text:

Text summarization has numerous applications across various domains. In the news and media industry, summarization systems can automatically generate concise summaries of long articles, enabling readers to quickly grasp the key points. In academics and research, summarization tools can help researchers efficiently navigate through large volumes of literature by providing informative summaries. Summarization is also valuable in legal and healthcare domains, where professionals need to quickly comprehend lengthy documents and case files. Additionally, summarization techniques are used in intelligent assistants and conversational agents to provide concise responses to user queries. Summarization can also aid in document clustering, topic modeling, and information retrieval tasks by generating representative summaries of document collections. As the amount of textual data continues to grow exponentially, the ability to summarize and condense information effectively becomes increasingly crucial.
Summarize the key points about summarization applications mentioned in the following text:

Text summarization has numerous applications across various domains. In the news and media industry, summarization systems can automatically generate concise summaries of long articles, enabling readers to quickly grasp the key points. In academics and research, summarization tools can help researchers efficiently navigate through large volumes of literature by providing informative summaries. Summarization is also valuable in legal and healthcare domains, where professionals need to quickly comprehend lengthy documents and case files. Additionally, summarization techniques are used in intelligent assistants and conversational agents to provide concise responses to user queries. Summarization can also aid in document clustering, topic modeling, and information retrieval tasks by generating representative summaries of document collections. As the amount of textual data continues to grow exponentially, the ability to summarize and condense information effectively becomes increasingly crucial.
user
The text highlights several key applications of text summarization across various domains: news and media (summarizing articles), academics and research (summarizing literature), legal and healthcare (summarizing cases and documents), intelligent assistants and conversational agents (providing concise responses), document clustering and topic modeling (generating representative summaries), and information retrieval (summarizing document collections). As textual data continues to grow, the ability to effectively summarize information becomes increasingly important in these and other domains.
assistant
Generate a series of (instruction, response) pairs that are similar in context and structure to the example provided below. Each pair should consist of a concise instruction followed by an appropriate, detailed response. The instruction should pose a clear task or question, while the response should provide a comprehensive answer or solution that could be understood by someone with a basic understanding of the subject.

Example pair: 
Instruction: Please read this text: 

People consume information in lots of different ways: visually, audibly, through text, and sometimes all three at once. Search engine algorithms like Google’s are advancing to reflect this experience for users. No longer will the algorithms just look at web pages as a single piece of text content. Google will look at all the ways real people consume information: text, images, videos, infographics, tables, charts, and interactive elements that make up a piece of content.

In recent years, we saw the rise of visual search – particularly in image-heavy industries like travel and tourism or ecommerce. Moving into 2023, Google will expand its foothold in multisearch and multisearch near me. 

What does it say about multi-format content in a brief summary?
Response: The text says that people prefer content in different forms like audio, video, or text format. As a result, Google plans to advance the multi-search function and page search algorithms accordingly. 

Your task is to generate more pairs that maintain this level of clarity and detail. The topic is Summarization. Write a long text of instruction by yourself, then summarize the given instruction in a response. Ensure that the responses are informative and accurate, suitable for an educational context. 

Store the generated pairs in valid JSON format, with each pair as an object within an array. Each object should have two key-value pairs: "instruction" and "response". For instance: 

{"contents": [{"instruction": "text", "response": "text"}, {"instruction": "text", "response": "text"}, ...]} 

Remember to maintain consistency in the format and ensure the generated pairs are diverse and cover a broad range of subjects. You must return the response in the asked format and you must not add any additional text in your response.
