The article critiques sentiment analysis tools for literary studies, highlighting gaps and proposing solutions.
Key Points
The central aim is to critique the effectiveness of sentiment analysis tools within literary studies, identifying theoretical and computational challenges.
Discusses possible applications of sentiment analysis in narratology and reader response.
Presents a taxonomy categorizing sentiment analysis tools based on emotion theory, resource-building methods, and analysis techniques.
Surveys six representative sentiment analysis tools used in literary studies.
Identifies gaps between literary theories and the computational models used in sentiment analysis.
Proposes solutions to address the identified gaps.
Classifies sentiment analysis tools according to their foundational theories and approaches.