SPSLingAnc provides a mixed-methods analysis of complete fictional narratives in English, focusing on linguistic tokens that shape readers' conceptualization of storyworld possible selves. The dataset comprises 91,328 words from two novels, with 5,980 tagged tokens analyzed using MAXQDA 2022 software. It was authored by María-Ángeles Martínez and last updated on October 14, 2025.
Use Cases
- Analyze the distribution of linguistic tokens for storyworld possible selves based on the 5,980 tagged tokens.
- Compare narrative intersubjectivity patterns between authors based on the separate analyses of 'The Great Gatsby' and 'The Turn of the Screw'.
- Train models for linguistic feature extraction in narrative prose based on the annotated corpus of 91,328 words.
- Study conceptual blending in reader experience based on the described framework of narrative perspectivizers and experiencers.
Strengths
- Analysis of two complete, well-known novels totaling 91,328 words.
- 5,980 manually tagged linguistic tokens provide a detailed annotation layer.
- Clear separation into two parts: 48,893 words from Fitzgerald and 42,435 words from James.
Limitations
- Column-level documentation is absent; field semantics must be inferred after download.
- Row count and file formats are unknown, which may limit suitability assessment.
- The dataset's scope is limited to two specific English-language novels.
Provenance
- Source
- María-Ángeles Martínez via e-cienciaDatos Harvested Dataverse.
- Collection Method
- Mixed-methods analysis using MAXQDA 2022 software on complete fictional texts.
- Time Range
- Covers the publication periods of the analyzed novels (1925 and 1898).
- Freshness
- Last updated 2025-10 14 21:44:10.
- Geography
- null