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It disregards word order (and thus most of syntax or grammar) but captures multiplicity. The bag-of-words model is commonly used in methods of document classification where, for example, the (frequency of) occurrence of each word is used as a feature for training a classifier. [1] It has also been used for computer vision. [2]
Other types of grammatical features, by contrast, may be relevant to semantics (morphosemantic features), such as tense, aspect and mood, or may only be relevant to morphology (morphological features). Inflectional class (a word's membership of a particular verb class or noun class) is a purely morphological feature, because it is only relevant ...
Microsoft Word is a word processing program developed by Microsoft.It was first released on October 25, 1983, [11] under the name Multi-Tool Word for Xenix systems. [12] [13] [14] 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 ...
which shows which documents contain which terms and how many times they appear. Note that, unlike representing a document as just a token-count list, the document-term matrix includes all terms in the corpus (i.e. the corpus vocabulary), which is why there are zero-counts for terms in the corpus which do not also occur in a specific document.
A word is a basic element of language that carries meaning, can be used on its own, and is uninterruptible. [1] Despite the fact that language speakers often have an intuitive grasp of what a word is, there is no consensus among linguists on its definition and numerous attempts to find specific criteria of the concept remain controversial. [2]
Work on features (generally called feature technology) can be divided into two rough categories: Design-by-features and Feature recognition. In design-by-features, also known as feature-based design (FBD), feature structures are introduced directly into a model using particular operations or by sewing in shapes.
Text linguistics is a branch of linguistics that deals with texts as communication systems.Its original aims lay in uncovering and describing text grammars.The application of text linguistics has, however, evolved from this approach to a point in which text is viewed in much broader terms that go beyond a mere extension of traditional grammar towards an entire text.
Word segmentation is the problem of dividing a string of written language into its component words. In English and many other languages using some form of the Latin alphabet, the space is a good approximation of a word divider (word delimiter), although this concept has limits because of the variability with which languages emically regard collocations and compounds.