# A novel intervention method for aspect-based emotion Using Exponential Linear Unit (ELU) activation function in a Deep Neural Network

**Type:** Papers  
**Canonical URL:** https://scholariq.org/papers/a-novel-intervention-method-for-aspect-based-emotion-using-exponential-linear/

## Facts

| Field | Value |
| --- | --- |
| Author Names | T Devi.,N. Deepa |
| Citations | 23 |
| DOI | 10.1109/iciccs51141.2021.9432223 |
| Fields | Computer Science,Psychology |
| Open Access | false |
| OA Status | closed |
| OpenAlex ID | https://openalex.org/W3169254149 |
| Type | conference-paper |
| Year | 2021 |

## Paper authors

- [T Devi.](https://scholariq.org/researchers/t-devi/)

## 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/)
- [Emotion and Mood Recognition](https://scholariq.org/topics/emotion-and-mood-recognition/)
- [Anomaly Detection Techniques and Applications](https://scholariq.org/topics/anomaly-detection-techniques-and-applications/)

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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.