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Define your scope or domain where the use case is relevant or prevalent?
The purpose of the study is to understand the perception of sentiment in the content of Greek tragedy essays. The study questions the ability for existing sentiment analysis tools (typically trained on modern social media data) to capture complex and layered sentiment displayed in the domain of translated ancient Greek tragedy.
What is your main story?
Sentiment Analysis of Greek tragedy helps the students and literature readers understand more about the Greek tragedy. So we have a goal to find the sentiment of the Greek tragedy with existing sentiment tools. However, existing tools failed to identify the sentiment of Greek tragedy. Here, we want to discuss the flaws of the current tools and propose a new solution that helps to identify the sentiment of the Greek tragedy.
Who are the characters or people in the main story?
Students and literature readers.
It is hard to find the sentiment of the Greek tragedy on the whole for students and literature readers with a limited period of what they have. Sentiment analysis of Greek tragedy helps them to choose which parts to read and explore.
In classrooms, libraries, and book reading groups.
During teaching, during exams, etc.
Usually, literature is very lengthy and hard to read it entirely without a break. When students and literature readers are about to finish, they may tend to lose track of the start of the Greek tragedy literature.
To address this issue, we have to collect the sentiment of the Greek tragedy literature by experts in it and apply existing sentiment analysis models. After that, by evaluating existing tools performance, we can decide whether we can proceed with existing tools or create a new one, especially for Greek tragedy literature.