# A survey on sentiment analysis in Urdu: A resource-poor language

**Type:** Papers  
**Canonical URL:** https://scholariq.org/papers/a-survey-on-sentiment-analysis-in-urdu-a-resource-poor-language/

## Facts

| Field | Value |
| --- | --- |
| Author Names | Asad Masood Khattak,Muhammad Zubair Asghar,Anam Saeed,Ibrahim A. Hameed,Syed Asif Hassan,Shakeel Ahmad |
| Citations | 57 |
| DOI | 10.1016/j.eij.2020.04.003 |
| Fields | Computer Science |
| Open Access | true |
| OA Status | gold |
| OA URL | https://www.sciencedirect.com/science/article/pii/S1110866520301171/pdf |
| OpenAlex ID | https://openalex.org/W3025955883 |
| Type | article |
| Year | 2020 |

## Paper authors

- [Muhammad Zubair Asghar](https://scholariq.org/researchers/muhammad-zubair-asghar/)

## 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/)
- [Topic Modeling](https://scholariq.org/topics/topic-modeling/)
- [Advanced Text Analysis Techniques](https://scholariq.org/topics/advanced-text-analysis-techniques/)

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