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2. Document clustering - Wikipedia

   en.wikipedia.org/wiki/Document_clustering

   The application of document clustering can be categorized to two types, online and offline. Online applications are usually constrained by efficiency problems when compared to offline applications. Text clustering may be used for different tasks, such as grouping similar documents (news, tweets, etc.) and the analysis of customer/employee ...

3. Word processor (electronic device) - Wikipedia

   en.wikipedia.org/wiki/Word_processor_(electronic...

   Word processing added to the text editor the ability to control type style and size, to manage lines (word wrap), to format documents into pages, and to number pages. Functions now taken for granted were added incrementally, sometimes by purchase of independent providers of add-on programs.

4. Automatic summarization - Wikipedia

   en.wikipedia.org/wiki/Automatic_summarization

   An example of a summarization problem is document summarization, which attempts to automatically produce an abstract from a given document. Sometimes one might be interested in generating a summary from a single source document, while others can use multiple source documents (for example, a cluster of articles on the same topic).

5. Google Docs - Wikipedia

   en.wikipedia.org/wiki/Google_Docs

   Google Docs is an online word processor and part of the free, web-based Google Docs Editors suite offered by Google.Google Docs is accessible via a web browser as a web-based application and is also available as a mobile app on Android and iOS and as a desktop application on Google's ChromeOS.

6. Terminology extraction - Wikipedia

   en.wikipedia.org/wiki/Terminology_extraction

   Terminology extraction (also known as term extraction, glossary extraction, term recognition, or terminology mining) is a subtask of information extraction.The goal of terminology extraction is to automatically extract relevant terms from a given corpus.

7. Document automation - Wikipedia

   en.wikipedia.org/wiki/Document_automation

   Document automation software has the ability to automatically fill in the correct document variables based on the transaction data. In addition, some document automation software has the ability to create a document suite where all related documents are encapsulated into one file, making updates and collaboration easy and fast.

8. Template:Find page text/doc - Wikipedia

   en.wikipedia.org/wiki/Template:Find_page_text/doc

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9. Multi-document summarization - Wikipedia

   en.wikipedia.org/wiki/Multi-document_summarization

   Multi-document summarization is an automatic procedure aimed at extraction of information from multiple texts written about the same topic. The resulting summary report allows individual users, such as professional information consumers, to quickly familiarize themselves with information contained in a large cluster of documents.