About: Co-occurrence network

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Co-occurrence network, sometimes referred to as a semantic network, is a method to analyze text that includes a graphic visualization of potential relationships between people, organizations, concepts, biological organisms like bacteria or other entities represented within written material. The generation and visualization of co-occurrence networks has become practical with the advent of electronically stored text compliant to text mining.

Attributes	Values
rdfs:label	Co-occurrence network (en)
rdfs:comment	Co-occurrence network, sometimes referred to as a semantic network, is a method to analyze text that includes a graphic visualization of potential relationships between people, organizations, concepts, biological organisms like bacteria or other entities represented within written material. The generation and visualization of co-occurrence networks has become practical with the advent of electronically stored text compliant to text mining. (en)
foaf:depiction
dcterms:subject	Biological databases Open-source intelligence Computational linguistics Data mining Intelligence gathering disciplines Medical search engines
Wikipage page ID	17460357 (xsd:integer)
Wikipage revision ID	1070322474 (xsd:integer)
Link from a Wikipage to another Wikipage	Natural language processing Noun Ontology components Topic spotting Internet PubGene Social network analysis NameBase Data domain Biological databases Open-source intelligence Text corpus Hyperlink Hyphen Article (grammar) Computational linguistics Data mining Intelligence gathering disciplines Big data Synonymous Medical search engines Co-occurrence Text string Dictionary Graph visualization Interconnection MEDLINE Sentence (linguistics) Word order Text mining Semantic network Open source intelligence Social relationship
Link from a Wikipage to an external page	http://www.aclweb.org/anthology/P01-1049%7Cdoi=10.3115/1073012.1073061%7Cdoi-access=free
sameAs	Co-occurrence network Co-occurrence network Co-occurrence network
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thumbnail	wiki-commons:Special:FilePath/Khcoder_net_e.png?width=300
has abstract	Co-occurrence network, sometimes referred to as a semantic network, is a method to analyze text that includes a graphic visualization of potential relationships between people, organizations, concepts, biological organisms like bacteria or other entities represented within written material. The generation and visualization of co-occurrence networks has become practical with the advent of electronically stored text compliant to text mining. By way of definition, co-occurrence networks are the collective interconnection of terms based on their paired presence within a specified unit of text. Networks are generated by connecting pairs of terms using a set of criteria defining co-occurrence. For example, terms A and B may be said to “co-occur” if they both appear in a particular article. Another article may contain terms B and C. Linking A to B and B to C creates a co-occurrence network of these three terms. Rules to define co-occurrence within a text corpus can be set according to desired criteria. For example, a more stringent criteria for co-occurrence may require a pair of terms to appear in the same sentence. Co-occurrence networks were found to be particularly useful to analyze large text and big data, when identifying the main themes and topics (such as in a large number of social media posts), revealing biases in the text (such as biases in news coverage), or even mapping an entire research field. (en)
prov:wasDerivedFrom	wikipedia-en:Co-occurrence_network?oldid=1070322474&ns=0
page length (characters) of wiki page	9772 (xsd:nonNegativeInteger)
foaf:isPrimaryTopicOf	wikipedia-en:Co-occurrence_network
is Link from a Wikipage to another Wikipage of	Small-world network Concordance (publishing) Co-occurrence networks Superfamily database KH Coder Microbiome Semantic network
is Wikipage redirect of	Co-occurrence networks
is foaf:primaryTopic of	wikipedia-en:Co-occurrence_network

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