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2. PDF - Wikipedia

   en.wikipedia.org/wiki/PDF

   A small set of fields is defined and can be extended with additional text values if required. This method is deprecated in PDF 2.0. In PDF 1.4, support was added for Metadata Streams, using the Extensible Metadata Platform (XMP) to add XML standards-based extensible metadata as used in other file formats. PDF 2.0 allows metadata to be attached ...

3. History of Microsoft Word - Wikipedia

   en.wikipedia.org/wiki/History_of_Microsoft_Word

   The three products shared the same Microsoft Word name, the same version numbers but were very different products built on different code bases. Three product lines co-existed: Word 1.0 to Word 5.1a [7] for Macintosh, Word 1.0 to Word 2.0 for Windows and Word 1.0 to Word 5.5 for DOS.

4. Microsoft Word - Wikipedia

   en.wikipedia.org/wiki/Microsoft_Word

   Microsoft Word is a word processor program developed by Microsoft.It was first released on October 25, 1983, [9] under the name Multi-Tool Word for Xenix systems. [10] [11] [12] Subsequent versions were later written for several other platforms including: IBM PCs running DOS (1983), Apple Macintosh running the Classic Mac OS (1985), AT&T UNIX PC (1985), Atari ST (1988), OS/2 (1989), Microsoft ...

5. Microsoft Office - Wikipedia

   en.wikipedia.org/wiki/Microsoft_Office

   Support for Portable Document Format (PDF) and OpenDocument (ODF) was first introduced in Word for Windows with Service Pack 2 for Word 2007. [ 19 ] Microsoft Excel is a spreadsheet editor that originally competed with the dominant Lotus 1-2-3 and eventually outsold it.

6. History of PDF - Wikipedia

   en.wikipedia.org/wiki/History_of_PDF

   History of PDF. The Portable Document Format (PDF) was created by Adobe Systems, introduced at the Windows and OS/2 Conference in January 1993 and remained a proprietary format until it was released as an open standard in 2008. Since then, it has been under the control of an International Organization for Standardization (ISO) committee of ...

7. Word2vec - Wikipedia

   en.wikipedia.org/wiki/Word2vec

   v. t. e. Word2vec is a technique in natural language processing (NLP) for obtaining vector representations of words. These vectors capture information about the meaning of the word based on the surrounding words. The word2vec algorithm estimates these representations by modeling text in a large corpus. Once trained, such a model can detect ...