FYP Project Proposal (Initial Conceptualisation)
FYP Keywords research Mindmap (Mood)
Update (As of 9 Aug)
FYP Proposal WIP (Word Document): https://docs.google.com/document/d/1uUsK5ZNhaMcvCedmwcoNbPKfOTQLT4VZVhW8kvxuhDU/edit?usp=sharing
Update (As of 13 Aug)
FYP Proposal Slide (WIP):
Literature Review:
Music Mood Representation From Social Tag
by Cyril Laurier, Mohamed Sordo, Joan Serra, Perfecto Herrera. 10th International Society for Music Information Retrieval Conference. 2009, P381-386.
This report details the group’s research on music mood representation via a semantic mood space through a Latent Semantic Analysis. Using Latent Semantic Analysis, it is proven that basic emotions such as happy, sad, angry and tender are the most selected tags chosen by people, hence making it relevant to the social network they have based it on – last.fm. The group also applied this method to evaluate the advantages and limitations of Music Information Retrieval Evaluation eXchange (MIREX) and Hevner representation on the semantic mood space. It is observed that Hevner have better separated clusters while MIREX has a more consistent cluster. Folksonomy representations that are formulated by them has been proved to be useful in mood classification where mood is categorised and arranged according to arousal and valence dimension where arousal refers to the intensity of feeling and valence refers to the spectrum from misery to happiness. And also, Folksonomy could help with the visualisation of a user’s emotional state based on their listening habits and history.
The Nature of Emotions: Human emotions have deep evolutionary roots, a fact that may explain their complexity and provide tools for clinical practice
by Robert Plutchik. American Scientist , JULY-AUGUST 2001, Vol. 89, No. 4 (JULY-AUGUST 2001), pp. 344-350.
This article talks about how emotions is a complex and challenging area of study as emotions can be overwhelming and also, at times, language couldn’t help to describe the accuracy of the emotions due to the mixed emotions felt by a person. However, Plutchnik categorised emotions into four different perspectives that consists of evolutionary, psychophysiological, neurological and psychodynamic traditions. It is also stated that while science is not able to solve the problems of emotions, it can help to create ways to conceptualise the problem. Plutchik first touched on evolutionary where animals were used as an example to prove that emotions are a reaction/response to their surroundings and it functions in a feedback loop, which proved emotions to be connected with the concept of adaptation and survival. The expression of emotion can be seen as a cause-and-effect through action and physical appearance so as to achieve an equilibrium and a state of comparative rest within the animal, which implied that emotions is a social regulation process. Finally, this article also presented emotions in a color wheel where it mirrors how emotions follow the color theory and showcased those emotions labelled outside the cone indicates the overlapping of two or more emotions.