# Cognitive Hybrid Deep Learning-based Multi-modal Sentiment Analysis for Online Product Reviews

**Type:** Papers  
**Canonical URL:** https://scholariq.org/papers/cognitive-hybrid-deep-learning-based-multi-modal-sentiment-analysis-for-online/

## Facts

| Field | Value |
| --- | --- |
| Author Names | Ashwin Perti,Amit Sinha,Ankit Vidyarthi |
| Citations | 13 |
| DOI | 10.1145/3615356 |
| Fields | Computer Science |
| Open Access | true |
| OA Status | bronze |
| OA URL | https://dl.acm.org/doi/pdf/10.1145/3615356 |
| OpenAlex ID | https://openalex.org/W4385762086 |
| Type | article |
| Year | 2023 |

## Paper authors

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

## Paper journal

- [ACM Transactions on Asian and Low-Resource Language Information Processing](https://scholariq.org/journals/acm-transactions-on-asian-and-low-resource-language-information-processing/)

## 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.