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 |
---|
sameAs
| |
wasDerivedFrom
| |
dbpedia-owl: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.
|
dbpedia-owl:thumbnail
| |
dbpedia-owl:wikiPageExternalLink
| |
dbpedia-owl:wikiPageID
| |
dbpedia-owl:wikiPageRevisionID
| |
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.
|
label
| |
dbpprop:wikiPageUsesTemplate
| |
described by
| |
topic
| |
depiction
| |
Subject
| |
is primary topic of
| |
dbpedia-owl:wikiPageLength
| |
dbpedia-owl:wikiPageWikiLink
| |
is sameAs
of | |
is topic
of | |
is dbpedia-owl:wikiPageRedirects
of | |
is primary topic
of | |
is dbpedia-owl:wikiPageWikiLink
of | |
is inDataset
of | |