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Emotion classification, the means by which one may distinguish or contrast one emotion from another, is a contested issue in emotion research and in affective science. Researchers have approached the classification of emotions from one of two fundamental viewpoints: [ citation needed ]
An example of a descriptive device used in psychological research is the diary, which is used to record observations. There is a history of use of diaries within clinical psychology . [ 20 ] Examples of psychologists that used them include B.F. Skinner (1904–1990) and Virginia Axline (1911–1988).
Emotional expressions arise from these appraisals, which essentially describe the context of the situation. [26] One appraisal model has developed the law of situational meaning, which states that emotions tend to be evoked by certain kinds of events. For example, grief is elicited by personal loss.
Metonymy is a speech disturbance in which patients, commonly with schizophrenia, use inappropriate words or expressions that are related to the proper ones. Examples include: consume a menu, instead of a meal; lose the piece of string of the conversation, not the thread of the conversation. See also § word approximation. [26] [27]
It includes the F.F.1 list with 1,500 high-frequency words, completed by a later F.F.2 list with 1,700 mid-frequency words, and the most used syntax rules. [12] It is claimed that 70 grammatical words constitute 50% of the communicatives sentence, [13] [14] while 3,680 words make about 95~98% of coverage. [15] A list of 3,000 frequent words is ...
Decades of scientific research have been conducted developing and evaluating methods for automated emotion recognition. There is now an extensive literature proposing and evaluating hundreds of different kinds of methods, leveraging techniques from multiple areas, such as signal processing, machine learning, computer vision, and speech processing.
Qualitative psychological research findings are not arrived at by statistical or other quantitative procedures. Quantitative psychological research findings result from mathematical modeling and statistical estimation or statistical inference. The two types of research differ in the methods employed, rather than the topics they focus on.
In the 2000s, research in computer science, engineering, psychology and neuroscience has been aimed at developing devices that recognize human affect display and model emotions. [140] In computer science, affective computing is a branch of the study and development of artificial intelligence that deals with the design of systems and devices ...