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Text types in literature form the basic styles of writing. Factual texts merely seek to inform, whereas literary texts seek to entertain or otherwise engage the ...
Text mining, text data mining (TDM ... Named entity recognition is the use of gazetteers or statistical techniques to identify named text features: people ...
Author profiling is the analysis of a given set of texts in an attempt to uncover various characteristics of the author based on stylistic- and content-based features, or to identify the author. Characteristics analysed commonly include age and gender , though more recent studies have looked at other characteristics, like personality traits and ...
[21] [22] Stylistic features are often computed as averages over a text or over the entire collected works of an author, yielding measures such as average word length or average sentence length. This enables a model to identify authors who have a clear preference for wordy or terse sentences but hides variation: an author with a mix of long and ...
Named-entity recognition (NER) (also known as (named) entity identification, entity chunking, and entity extraction) is a subtask of information extraction that seeks to locate and classify named entities mentioned in unstructured text into pre-defined categories such as person names, organizations, locations, medical codes, time expressions, quantities, monetary values, percentages, etc.
The most likely language is the one with the model that is most similar to the model from the text needing to be identified. This approach can be problematic when the input text is in a language for which there is no model. In that case, the method may return another, "most similar" language as its result.
In 1993, D. J. Fairbairn introduced a taxonomy of the purposes of text on maps, identifying fourteen types of text role. [7] Since then, others, such as cartography textbooks, have described the variety of roles of text, with the following generally being the most common: Identifying unique features, such as "The United Kingdom" [8] [9] [5]
In linguistics, a distinctive feature is the most basic unit of phonological structure that distinguishes one sound from another within a language. For example, the feature [+voice] distinguishes the two bilabial plosives: [p] and [b] (i.e., it makes the two plosives distinct from one another).