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1	Analyzing Songs Used for Lyric Analysis With Mental Health Consumers Using Linguistic Inquiry and Word Count (LIWC) Software Miller, Ashley M. 01 January 2017 (has links) Lyric analysis is one of the most commonly used music therapy interventions with the mental health population, yet there is a gap in the research literature regarding song selection. The primary purpose of this study was to determine distinguishing linguistic characteristics of song lyrics most commonly used for lyric analysis with mental health consumers, as measured by LIWC2015 software. A secondary purpose was to provide an updated song list resource for music therapists and music therapy students working with the mental health population. The researcher emailed a survey to 6,757 board-certified music therapists, 316 of whom completed the survey. Respondents contributed 700 different songs that they deemed most effective for lyric analysis with mental health consumers. The researcher used the LIWC2015 software to analyze the 48 songs that were listed by five or more music therapists. Song lyrics contained linguistic indicators of self-focused attention, present-focused attention, poor social relationships, and high cognitive processing. Lyrics were written in an informal, personal, and authentic style. Some lyrics were more emotionally positive, while others were more emotionally negative. While results must be interpreted with caution, it may be helpful to consider linguistic elements when choosing songs for lyric analysis with mental health consumers. lyric analysis music therapy mental health song selection LIWC Counseling Linguistics Mental and Social Health Music Therapy Psychology
2	Inovativní přehrávač hudby pro chytré telefony a PC / Innovative Music Player for Smartphones and PC Richter, Roman January 2021 (has links) The goal of this thesis is to create a music player for smartphones as well as PCs that works with local music files in the user's device and which can learn which songs does the user like based on their actions during listening to music. The music player can, among other things, remember which songs were skipped by the user, when was volume turned up, or how many times was a certain song played. Each song has a score that is calculated based on these actions. With a higher score, there is also a higher chance of playing the song in the future. The results of my thesis are two full-featured versions of music player, which are capable of communication with each other to ensure synchronization of song scores. The main benefit of this thesis is an improvement of user experience during listening to music, which is achieved by the application's algorithm for song selection and minimalistic user interface.
3	Music Therapists' Song Selection for Song Discussion with Adolescents with Behavioral Health Needs: A Proposed Checklist Guillard, Ella Christine 03 August 2023 (has links) No description available. Health Care Health Mental Health Music Therapy Welfare Alternative Medicine Behavioral Psychology Behavioral Sciences Clinical Psychology Cognitive Psychology Cognitive Therapy Counseling Psychology music therapy adolescents song selection song discussion lyric analysis song analysis behavioral health mental health checklist lyric discussion song lyric analysis song lyric discussion song (lyric) discussion teens children

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