# Aspect-based sentiment analysis on multi-domain reviews through word embedding

**Type:** Papers  
**Canonical URL:** https://scholariq.org/papers/aspect-based-sentiment-analysis-on-multi-domain-reviews-through-word-embedding/

## Facts

| Field | Value |
| --- | --- |
| Author Names | M. Venu Gopalachari,Sangeeta Gupta,S. Rakesh,Dharmana Jayaram,P. Venkateswara Rao |
| Citations | 10 |
| DOI | 10.1515/jisys-2023-0001 |
| Fields | Computer Science,Social Sciences |
| Open Access | true |
| OA Status | gold |
| OA URL | https://www.degruyter.com/document/doi/10.1515/jisys-2023-0001/pdf |
| OpenAlex ID | https://openalex.org/W4381847840 |
| Type | article |
| Year | 2023 |

## Paper authors

- [S. Rakesh](https://scholariq.org/researchers/s-rakesh/)

## Paper journal

- [Journal of Intelligent Systems](https://scholariq.org/journals/journal-of-intelligent-systems/)

## 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/)
- [Digital Marketing and Social Media](https://scholariq.org/topics/digital-marketing-and-social-media/)

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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.