# Connection Science

**Type:** Journals  
**Canonical URL:** https://scholariq.org/journals/connection-science/

## Facts

| Field | Value |
| --- | --- |
| Open Access | false |
| ISSN-L | 0954-0091 |
| ISSNs | 0954-0091,1360-0494 |
| OpenAlex ID | https://openalex.org/S4210188800 |
| Publisher | Taylor & Francis |

## Journal papers

- [A novel deep learning model for stock market prediction using a sentiment analysis system from authoritative financial website’s data](https://scholariq.org/papers/a-novel-deep-learning-model-for-stock-market-prediction-using-a-sentiment/)

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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.