# Optimized hybrid deep learning for cross-linguistic sentiment analysis: a novel approach

**Type:** Papers  
**Canonical URL:** https://scholariq.org/papers/optimized-hybrid-deep-learning-for-cross-linguistic-sentiment-analysis-a-novel/

## Facts

| Field | Value |
| --- | --- |
| Author Names | Vipin Jain,Lokesh Malviya,A. S. |
| Citations | 8 |
| DOI | 10.1186/s13677-025-00753-w |
| Fields | Computer Science |
| Open Access | true |
| OA Status | gold |
| OA URL | https://journalofcloudcomputing.springeropen.com/counter/pdf/10.1186/s13677-025-00753-w |
| OpenAlex ID | https://openalex.org/W4411380087 |
| Type | article |
| Year | 2025 |

## Paper authors

- [Vipin Jain](https://scholariq.org/researchers/vipin-jain/)

## 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/)
- [Topic Modeling](https://scholariq.org/topics/topic-modeling/)

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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.