Emotion Expression in Modern Literary Appreciation: An Emotion-Based Analysis

Area of Science:

• Computational Linguistics
• Literary Studies
• Artificial Intelligence

Background:

• Literary appreciation involves complex cognitive and aesthetic processes beyond general reading.
• Understanding the nuances of emotional expression is key to profound literary interpretation.

Purpose of the Study:

• To apply machine learning for classifying character emotions in modern literary works.
• To analyze and understand the intended emotional portrayals by authors.

Main Methods:

• Creative application of a machine learning algorithm.
• Development of an emotion classification model tailored for literary contexts.

Main Results:

• Experimental validation confirmed the accuracy of the proposed emotion classification method.
• The results demonstrate the utility of AI in dissecting emotional expression in literature.

Conclusions:

• The machine learning approach provides a robust tool for analyzing character emotions.
• This method enhances the depth of understanding emotional expression within modern literary works.