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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 ...
The term template, when used in the context of word processing software, refers to a sample document that has already some details in place; those can (that is added/completed, removed or changed, differently from a fill-in-the-blank of the approach as in a form) either by hand or through an automated iterative process, such as with a software assistant.
WordPerfect (WP) is a word processing application, now owned by Alludo, [3] with a long history on multiple personal computer platforms. At the height of its popularity in the 1980s and early 1990s, it was the market leader of word processors, displacing the prior market leader WordStar. It was originally developed under contract at Brigham ...
A content template is a document which provides a table of contents. It might be modified to correspond to the user's needs. The word "Template" here means "a pre-formatted file type that can be used to quickly create a specific file". Everything such as font, size, color and background pictures are pre-formatted but users can also edit them.
Vector space model. Vector space model or term vector model is an algebraic model for representing text documents (or more generally, items) as vectors such that the distance between vectors represents the relevance between the documents. It is used in information filtering, information retrieval, indexing and relevancy rankings.
A game design document (often abbreviated GDD) is a highly descriptive living software design document of the design for a video game. [1][2][3][4] A GDD is created and edited by the development team and it is primarily used in the video game industry to organize efforts within a development team. The document is created by the development team ...
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 synonymous ...
e. In natural language processing (NLP), a word embedding is a representation of a word. The embedding is used in text analysis. Typically, the representation is a real-valued vector that encodes the meaning of the word in such a way that the words that are closer in the vector space are expected to be similar in meaning. [1]