# An extensive study of sentiment analysis techniques: A survey

**Type:** Papers  
**Canonical URL:** https://scholariq.org/papers/an-extensive-study-of-sentiment-analysis-techniques-a-survey/

## Facts

| Field | Value |
| --- | --- |
| Author Names | Lafta Raheem Ali,Bassam Noori Shaker,Sabah Abdulazeez Jebur |
| Citations | 12 |
| DOI | 10.1063/5.0119604 |
| Fields | Computer Science |
| Open Access | true |
| OA Status | bronze |
| OA URL | https://aip.scitation.org/doi/pdf/10.1063/5.0119604 |
| OpenAlex ID | https://openalex.org/W4361802065 |
| Type | conference-paper |
| Year | 2023 |

## Paper authors

- [Lafta Raheem Ali](https://scholariq.org/researchers/lafta-raheem-ali/)
- [Sabah Abdulazeez Jebur](https://scholariq.org/researchers/sabah-abdulazeez-jebur/)

## 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/)

---
Source: ScholarIQ — public research metadata, principally OpenAlex. See https://scholariq.org/sources/ for provenance and https://scholariq.org/methodology/ for what these figures mean.