Automatic summarization: Difference between revisions

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===Applications===

{{Expand section|date=February 2017}}

Specific applications of automatic summarization include:

* The [[Reddit]] [[Internet bot|bot]] "autotldr",<ref>{{cite web|title=overview for autotldr|url=https://www.reddit.com/user/autotldr|website=reddit|access-date=9 February 2017|language=en}}</ref> created in 2011 summarizes news articles in the comment-section of reddit posts. It was found to be very useful by the reddit community which upvoted its summaries hundreds of thousands of times.<ref>{{cite book|last1=Squire|first1=Megan|author-link = Megan Squire|title=Mastering Data Mining with Python – Find patterns hidden in your data|publisher=Packt Publishing Ltd|isbn=9781785885914|url=https://books.google.com/books?id=_qXWDQAAQBAJ&pg=PA185|access-date=9 February 2017|language=en|date=2016-08-29}}</ref> The name is reference to [[TL;DR]] − [[Internet slang]] for "too long; didn't read".<ref>{{cite web|title=What Is 'TLDR'?|url=https://www.lifewire.com/what-is-tldr-2483633|website=Lifewire|access-date=9 February 2017}}</ref><ref>{{cite web|title=What Does TL;DR Mean? AMA? TIL? Glossary Of Reddit Terms And Abbreviations|url=http://www.ibtimes.com/what-does-tldr-mean-ama-til-glossary-reddit-terms-abbreviations-431704|work=International Business Times|access-date=9 February 2017|date=29 March 2012}}</ref>

Reddit Bot – autotldr:

* [[Adversarial stylometry]] may make use of summaries, if the detail lost is not major and the summary is sufficiently stylistically different to the input.{{sfn|Potthast|Hagen|Stein|2016|p=11-12}}

The Reddit bot "autotldr", created in 2011, summarizes news articles in the comment sections of Reddit posts. It gained widespread popularity in the Reddit community, with users upvoting its summaries hundreds of thousands of times. The bot's name is a nod to TL;DR, Internet slang for "too long; didn't read". This application shows how automated summarization tools can provide value by distilling lengthy content into digestible summaries for faster consumption.[31][32][33][34]

Adversarial Stylometry:

In the field of adversarial stylometry, automatic summarization may be used to obscure or alter an author's writing style while retaining core content. This technique is particularly useful in privacy-preserving text transformations, where reduced detail and stylistic changes can help anonymize authorship without significant information loss.[35]

Academic and Research Assistance:

Researchers and students often use summarization tools to quickly digest large volumes of academic literature, abstracts, and reports. Tools like DeepSeek’s [https://deepseekstools.com/deepseek-text-summarizer/ Text Summarizer] help streamline this process by generating concise summaries from complex documents, improving productivity and comprehension.

News Aggregation and Journalism:

News organizations and aggregation platforms use summarization to generate quick digests of breaking news, allowing readers to stay informed without reading full articles. This is especially useful in mobile apps, push notifications, and briefing formats.

Customer Service and Email Triage:

Businesses use automatic summarization to process and summarize large volumes of customer support emails or chat logs. This helps support teams prioritize and respond more efficiently.

Legal and Compliance Work:

Law firms and compliance departments use summarization to extract key information from lengthy legal documents, contracts, and case studies, saving time in document review processes.

Healthcare and Medical Records:

In healthcare, summarization tools are being applied to patient records, clinical trial data, and medical literature to aid doctors and researchers in identifying relevant information quickly.

==Evaluation==