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Concept mining

Index Concept mining

Concept mining is an activity that results in the extraction of concepts from artifacts. [1]

17 relations: Artificial intelligence, Compound term processing, Concept, Data mining, Document, Formal concept analysis, Hyponymy and hypernymy, Information extraction, Machine translation, Meronymy, Semantic similarity, Statistics, Text mining, Thesaurus, Triviality (mathematics), Word-sense disambiguation, WordNet.

Artificial intelligence

Artificial intelligence (AI, also machine intelligence, MI) is intelligence demonstrated by machines, in contrast to the natural intelligence (NI) displayed by humans and other animals.

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Compound term processing

Compound term processing refers to a category of techniques used in information retrieval applications to perform matching on the basis of compound terms.

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Concept

Concepts are mental representations, abstract objects or abilities that make up the fundamental building blocks of thoughts and beliefs.

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Data mining

Data mining is the process of discovering patterns in large data sets involving methods at the intersection of machine learning, statistics, and database systems.

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Document

A document is a written, drawn, presented, or memorialized representation of thought.

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Formal concept analysis

Formal concept analysis (FCA) is a principled way of deriving a concept hierarchy or formal ontology from a collection of objects and their properties.

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Hyponymy and hypernymy

In linguistics, a hyponym (from Greek hupó, "under" and ónoma, "name") is a word or phrase whose semantic field is included within that of another word, its hyperonym or hypernym (from Greek hupér, "over" and ónoma, "name").

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Information extraction

Information extraction (IE) is the task of automatically extracting structured information from unstructured and/or semi-structured machine-readable documents.

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Machine translation

Machine translation, sometimes referred to by the abbreviation MT (not to be confused with computer-aided translation, machine-aided human translation (MAHT) or interactive translation) is a sub-field of computational linguistics that investigates the use of software to translate text or speech from one language to another.

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Meronymy

Meronymy (from Greek μέρος meros, "part" and ὄνομα onoma, "name") is a semantic relation specific to linguistics, distinct from the similar meronomy.

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Semantic similarity

Semantic similarity is a metric defined over a set of documents or terms, where the idea of distance between them is based on the likeness of their meaning or semantic content as opposed to similarity which can be estimated regarding their syntactical representation (e.g. their string format).

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Statistics

Statistics is a branch of mathematics dealing with the collection, analysis, interpretation, presentation, and organization of data.

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Text mining

Text mining, also referred to as text data mining, roughly equivalent to text analytics, is the process of deriving high-quality information from text.

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Thesaurus

In general usage, a thesaurus is a reference work that lists words grouped together according to similarity of meaning (containing synonyms and sometimes antonyms), in contrast to a dictionary, which provides definitions for words, and generally lists them in alphabetical order.

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Triviality (mathematics)

In mathematics, the adjective trivial is frequently used for objects (for example, groups or topological spaces) that have a very simple structure.

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Word-sense disambiguation

In computational linguistics, word-sense disambiguation (WSD) is an open problem of natural language processing and ontology.

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WordNet

WordNet is a lexical database for the English language.

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Redirects here:

Applications of concept mining, Concept Mining.

References

[1] https://en.wikipedia.org/wiki/Concept_mining

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