# The Validity of Sentiment Analysis: Comparing Manual Annotation, Crowd-Coding, Dictionary Approaches, and Machine Learning Algorithms

**Type:** Papers  
**Canonical URL:** https://scholariq.org/papers/the-validity-of-sentiment-analysis-comparing-manual-annotation-crowd-coding/

## Facts

| Field | Value |
| --- | --- |
| Author Names | Wouter van Atteveldt,Mariken Anna Catharina Geertruida van der Velden,Mark Boukes |
| Citations | 396 |
| DOI | 10.1080/19312458.2020.1869198 |
| Fields | Computer Science,Social Sciences |
| Open Access | true |
| OA Status | hybrid |
| OA URL | https://www.tandfonline.com/doi/pdf/10.1080/19312458.2020.1869198?needAccess=true |
| OpenAlex ID | https://openalex.org/W3128553165 |
| Type | article |
| Year | 2021 |

## Paper authors

- [Mark Boukes](https://scholariq.org/researchers/mark-boukes/)

## 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/)
- [Computational and Text Analysis Methods](https://scholariq.org/topics/computational-and-text-analysis-methods/)
- [Advanced Text Analysis Techniques](https://scholariq.org/topics/advanced-text-analysis-techniques/)

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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.