Music Content Ranking using Affective Information on Social Media

Affective Music Information Retrieval

Much of the appeal of music lies in its power to convey emotions/moods and to evoke them in listeners. In consequence, the past decade witnessed a growing interest in modeling emotions from musical signals in the music information retrieval (MIR) community. In this article, we present a novel generative approach to music emotion modeling, with a specific focus on the valence-arousal (VA) dimens...

Social Media - Fundamentals, Models, and Ranking of User-Generated Content

Social Media Impact on Website Ranking

Dushyant Vaghela http://explorequotes.com Department of Computer Engineering RK University, Rajkot, India. Abstract—Internet is fast becoming critically important to commerce, industry and individuals. Search Engine (SE) is the most vital component for communication network and also used for discover information for users or people. Search engine optimization (SEO) is the process that is mostly...

Control of Affective Content in Music Production

This research intends to design a system to control affective content in music production. This is done by taking into account a knowledge base with mappings between affective states (happiness, sadness, etc.) and music features (rhythm, melody, etc.). The knowledge base is grounded on the state of the art done in areas of Music Psychology. An emotional description specified by the user is used...

Ranking for Social Semantic Media

This diploma thesis is devoted to the ranking of results returned by search engines. We present a State of the Art which covers the ranking for various datatypes, including the Web, XML, RDF, and folksonomies. For every datatype the calculation of a popularity score as well as the computing of a content score is presented. For most datatypes we also discuss the relevance of two objects to each ...