# Constructing Vec-tionaries to Extract Message Features from Texts: A Case Study of Moral Content

**Type:** Papers  
**Canonical URL:** https://scholariq.org/papers/constructing-vec-tionaries-to-extract-message-features-from-texts-a-case-study-2/

## Facts

| Field | Value |
| --- | --- |
| Author Names | Zening Duan,Anqi Shao,Yibo Hu,Heysung Lee,Xining Liao,Yoo Ji Suh,Jisoo Kim,Kai‐Cheng Yang,Kaiping Chen,Sijia Yang |
| Citations | 3 |
| DOI | 10.1017/pan.2025.6 |
| Fields | Computer Science,Social Sciences |
| Open Access | true |
| OA Status | hybrid |
| OA URL | https://www.cambridge.org/core/services/aop-cambridge-core/content/view/3776A6F06C041A79900AD4FE40A47FAF/S1047198725000063a.pdf/div-class-title-constructing-vec-tionaries-to-extract-message-features-from-texts-a-case-study-of-moral-content-div.pdf |
| OpenAlex ID | https://openalex.org/W4409373766 |
| Type | article |
| Year | 2025 |

## Paper authors

- [Yoo Ji Suh](https://scholariq.org/researchers/yoo-ji-suh/)

## Paper primary topic

- [Sentiment Analysis and Opinion Mining](https://scholariq.org/topics/sentiment-analysis-and-opinion-mining/)

## Paper topics

- [Sentiment Analysis and Opinion Mining](https://scholariq.org/topics/sentiment-analysis-and-opinion-mining/)
- [Advanced Text Analysis Techniques](https://scholariq.org/topics/advanced-text-analysis-techniques/)
- [Misinformation and Its Impacts](https://scholariq.org/topics/misinformation-and-its-impacts/)

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Source: ScholarIQ — public research metadata, principally OpenAlex. See https://scholariq.org/sources/ for provenance and https://scholariq.org/methodology/ for what these figures mean.