
Choose the top 20 songs that I have played the most on the music platform.

First of all, I conducted a research on the 20 songs according to the number of times they were played, and collected data from different directions such as music type, transmission source, release time, length, amount of comments and amount of bullets.
In addition, I tried to compare the wave frequency of the songs, hoping to show the mood of different songs by the change of wave frequency, but obviously their differences are very small, I can only classify them according to the rhythm of the song expressed by wave frequency. For example, the song on the left has a large variation in wave frequency, and most of them are lyrical and slow songs about expressing family affection and love. The song on the right has a high frequency for a long time, indicating that this part is full of energy and dynamic songs or high mood music.


I have tried to find interesting information in the comment area, but through the collection and research from the comment area of the song, I found that most of the comments are feedback on the singer, rather than the emotions conveyed by the song itself in the melody. The song consists of two parts: lyrics and melody, but the lyrics will be restricted by language, but the melody can convey emotions across languages, and may better reflect the different emotions that the song itself brings to people. I wish I could catalog each song by its ability to empathize. Of course, the truest feedback is the reaction to the song. So, I searched for participants in different native languages for the songs in my playlist to conduct experiments. When they hear the song, they can truly feel the emotional brought by the song without understanding the content of the lyrics at all.








The purpose of this catalog is to show that in different languages, songs can still convey emotions through melody and still have the ability to empathize.
Feedback:
To develop:
• The set is the reaction video
• At which point did you take the screenshots – was there a system for choosing the image from the video?
• How did you decide it was the best image?
• Expressing emotions through colour and the face
• Once you find the set, you look at it in detail and break it down to understand the grammar – that thinking is missing from the presentation
• Similarities and differences of the songs
• Find a system that represents the video itself – think more about this
• Spend more time breaking down the songs themselves
• How can the emojis be developed more
• Is this enough to help you understand the reaction
• Like that the images contrast the reaction image – no relation, exaggeration
• Is there a system behind the pixilation
• These are professional reaction givers – make money – material
• Explore this for the translation project