New ideas about the GPT part and dashboard:
I can create a list of tags about Genshin gameplay and label the segmented parts of comments with them. The dashboard can present value of VADER sentiment analysis for a certain tag combination within a time period, like "Raiden, Teambuild, Gameplay" or "Liyue, Map, Explore"
Since GPT is too expensive for my dataset, maybe training a local model is better? Or just switch to traditional NLP models like LDA? I will decide this after a talk with a professional this Friday.
New ideas about the GPT part and dashboard: I can create a list of tags about Genshin gameplay and label the segmented parts of comments with them. The dashboard can present value of VADER sentiment analysis for a certain tag combination within a time period, like "Raiden, Teambuild, Gameplay" or "Liyue, Map, Explore"