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2. 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.

3. Document clustering - Wikipedia

   en.wikipedia.org/wiki/Document_clustering

   Document clustering involves the use of descriptors and descriptor extraction. Descriptors are sets of words that describe the contents within the cluster. Document clustering is generally considered to be a centralized process. Examples of document clustering include web document clustering for search users.

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. List of PDF software - Wikipedia

   en.wikipedia.org/wiki/List_of_PDF_software

   Supports merging, splitting, and extracting pages from PDFs. Also rotating, deleting and reordering pages. Converts PDF to Word, Excel, PowerPoint, raster images. Soda PDF: Proprietary: Yes Yes Yes Modular PDF software. Solid Converter PDF: Proprietary: Yes Yes Yes PDF to Word, Excel, HTML and Text; supports passwords, text editing, and batch ...

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. Keyword extraction - Wikipedia

   en.wikipedia.org/wiki/Keyword_extraction

   Keyword extraction is tasked with the automatic identification of terms that best describe the subject of a document. [1] [2] Key phrases, key terms, key segments or just keywords are the terminology which is used for defining the terms that represent the most relevant information contained in the document. Although the terminology is different ...