That doesn't factor in line delivery. You can have the words say/mean one thing (e.g. "I'm fine.") and the delivery say/mean another (defensive, distraught, etc.).
It also does not account for where stresses, emphasis, pauses, etc. are placed to enhance the delivery of a given text.
How do you get sentiment analysis to properly annotate an audiobook that has a dramatic reading, or something akin to the narration of the Game of Thrones or Harry Potter books where the narrators switch characters, accents, manarisms to portray the written content?
Comments
Just run an LLM in sentiment analysis mode to annotate.
That doesn't factor in line delivery. You can have the words say/mean one thing (e.g. "I'm fine.") and the delivery say/mean another (defensive, distraught, etc.).
It also does not account for where stresses, emphasis, pauses, etc. are placed to enhance the delivery of a given text.
How do you get sentiment analysis to properly annotate an audiobook that has a dramatic reading, or something akin to the narration of the Game of Thrones or Harry Potter books where the narrators switch characters, accents, manarisms to portray the written content?