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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 items is based on the likeness of their meaning or semantic content [citation needed] as opposed to lexicographical similarity. These are mathematical tools used to estimate the strength of the semantic relationship ...
The information processing theory simplified is comparing the human brain to a computer or basic processor. It is theorized that the brain works in a set sequence, as does a computer. The sequence goes as follows, "receives input, processes the information, and delivers an output". This theory suggests that we as humans will process information ...
In cognitive psychology, information processing is an approach to the goal of understanding human thinking that treats cognition as essentially computational in nature, with the mind being the software and the brain being the hardware. [1] It arose in the 1940s and 1950s, after World War II. [2] The information processing approach in psychology ...
Social information processing theory, also known as SIP, is a psychological and sociological theory originally developed by Salancik and Pfeffer in 1978. [1] This theory explores how individuals make decisions and form attitudes in a social context, often focusing on the workplace. It suggests that people rely heavily on the social information ...
Explicit semantic analysis. In natural language processing and information retrieval, explicit semantic analysis (ESA) is a vectoral representation of text (individual words or entire documents) that uses a document corpus as a knowledge base. Specifically, in ESA, a word is represented as a column vector in the tf–idf matrix of the text ...
The need for cognition (NFC), in psychology, is a personality variable reflecting the extent to which individuals are inclined towards effortful cognitive activities. [1][2] Need for cognition has been variously defined as "a need to structure relevant situations in meaningful, integrated ways" and "a need to understand and make reasonable the ...
Linguistics. v. t. e. Semantic memory refers to general world knowledge that humans have accumulated throughout their lives. [1] This general knowledge (word meanings, concepts, facts, and ideas) is intertwined in experience and dependent on culture. New concepts are learned by applying knowledge learned from things in the past.
A semantic network may be instantiated as, for example, a graph database or a concept map. Typical standardized semantic networks are expressed as semantic triples. Semantic networks are used in neurolinguistics and natural language processing applications such as semantic parsing [2] and word-sense disambiguation. [3]