Wulandari S, Angelia Putri (2025) Analyzing emotional sentiments in reaction videos: the case of taylor swift's "all too well" / Angelia Putri Wulandari S. Diploma thesis, Universitas Negeri Malang.
Full text not available from this repository.Abstract
p The analysis of the emotions expressed in YouTube reaction videos evokes an emotional response to the song All Too Well. In this study a qualitative research design was used to analyze 15 video transcripts selected from popular YouTube channels. Data were collected through purposive sampling and manually transcribed to capture the detailed emotional expressions. Additionally the main objective was to examine the types of emotions present and how these emotions relate to the themes of love loss and nostalgia conveyed in the song. The findings suggest that manual sentiment analysis classifies emotional expressions as positive negative and neutral revealing subtle responses that are often overlooked by automated systems while nostalgic thoughts elicit a range of feelings unpleasant sentiments frequently accompany the subject of loss underscoring the capacity of songs to appeal to personal experience. As this study advances our knowledge of how music evokes strong emotional reactions in digital media to create a sense of solidarity through vulnerability thus this manual approach employed in this study provides deeper insights into audience engagement displays the importance of lyrical storytelling in eliciting deep emotional connections. Finally study underscores the power of music to evoke and articulate complex emotions in the digital landscape. /p
| Item Type: | Thesis (Diploma) |
|---|---|
| Subjects: | L Education > L Education (General) > LM Media Pembelajaran P Language and Literature > PE English |
| Divisions: | Fakultas Sastra (FS) > Departemen Sastra Inggris (ING) > S1 Bahasa dan Sastra Inggris |
| Depositing User: | library UM |
| Date Deposited: | 23 Jun 2025 04:29 |
| Last Modified: | 02 Apr 2026 01:21 |
| URI: | http://repository.um.ac.id/id/eprint/420790 |
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