# A novel deep learning model for stock market prediction using a sentiment analysis system from authoritative financial website’s data

**Type:** Papers  
**Canonical URL:** https://scholariq.org/papers/a-novel-deep-learning-model-for-stock-market-prediction-using-a-sentiment/

## Facts

| Field | Value |
| --- | --- |
| Author Names | Jitendra Chauhan,Tanveer Ahmed,Amit Sinha |
| Citations | 14 |
| DOI | 10.1080/09540091.2025.2455070 |
| Fields | Computer Science,Decision Sciences,Engineering |
| Open Access | true |
| OA Status | gold |
| OA URL | https://doi.org/10.1080/09540091.2025.2455070 |
| OpenAlex ID | https://openalex.org/W4406804246 |
| Type | article |
| Year | 2025 |

## Paper authors

- [Amit Sinha](https://scholariq.org/researchers/amit-sinha/)

## Paper primary topic

- [Stock Market Forecasting Methods](https://scholariq.org/topics/stock-market-forecasting-methods/)

## Paper topics

- [Stock Market Forecasting Methods](https://scholariq.org/topics/stock-market-forecasting-methods/)
- [Data Stream Mining Techniques](https://scholariq.org/topics/data-stream-mining-techniques/)
- [Energy Load and Power Forecasting](https://scholariq.org/topics/energy-load-and-power-forecasting/)

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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.