# AI Based Emotion Detection for Textual Big Data: Techniques and Contribution

**Type:** Papers  
**Canonical URL:** https://scholariq.org/papers/ai-based-emotion-detection-for-textual-big-data-techniques-and-contribution/

## Facts

| Field | Value |
| --- | --- |
| Author Names | Sheetal Kusal,Shruti Patil,Ketan Kotecha,Rajanikanth Aluvalu,V. Vijayakumar |
| Citations | 82 |
| DOI | 10.3390/bdcc5030043 |
| Fields | Computer Science |
| Open Access | true |
| OA Status | gold |
| OA URL | https://www.mdpi.com/2504-2289/5/3/43/pdf?version=1631957524 |
| OpenAlex ID | https://openalex.org/W3198721561 |
| Type | article |
| Year | 2021 |

## Paper authors

- [V. Vijayakumar](https://scholariq.org/researchers/v-vijayakumar/)

## Paper journal

- [Big Data and Cognitive Computing](https://scholariq.org/journals/big-data-and-cognitive-computing/)

## 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/)
- [Spam and Phishing Detection](https://scholariq.org/topics/spam-and-phishing-detection/)

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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.