# Sarcasm Detection in Twitter -- Performance Impact while using Data Augmentation: Word Embeddings

**Type:** Papers  
**Canonical URL:** https://scholariq.org/papers/sarcasm-detection-in-twitter-performance-impact-while-using-data-augmentation/

## Facts

| Field | Value |
| --- | --- |
| Author Names | Alif Tri Handoyo,Hidayaturrahman Hidayaturrahman,Derwin Suhartono |
| Citations | 4 |
| DOI | 10.48550/arxiv.2108.09924 |
| Fields | Computer Science |
| Open Access | true |
| OA Status | green |
| OA URL | https://arxiv.org/pdf/2108.09924 |
| OpenAlex ID | https://openalex.org/W4287021642 |
| Type | preprint |
| Year | 2021 |

## Paper authors

- [Hidayaturrahman Hidayaturrahman](https://scholariq.org/researchers/hidayaturrahman-hidayaturrahman/)

## Paper journal

- [arXiv (Cornell University)](https://scholariq.org/journals/arxiv-cornell-university/)

## 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/)
- [Natural Language Processing Techniques](https://scholariq.org/topics/natural-language-processing-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.