# Extractive Text Summarization Models for Urdu Language

**Type:** Papers  
**Canonical URL:** https://scholariq.org/papers/extractive-text-summarization-models-for-urdu-language/

## Facts

| Field | Value |
| --- | --- |
| Author Names | Ali Nawaz,Maheen Bakhtyar,Junaid Baber,Ihsan Ullah,Waheed Noor,Abdul Basit |
| Citations | 46 |
| DOI | 10.1016/j.ipm.2020.102383 |
| Fields | Computer Science |
| Open Access | false |
| OA Status | closed |
| OpenAlex ID | https://openalex.org/W3087824800 |
| Type | article |
| Year | 2020 |

## Paper authors

- [Ihsan Ullah](https://scholariq.org/researchers/ihsan-ullah/)

## Paper journal

- [Information Processing & Management](https://scholariq.org/journals/information-processing-and-management/)

## Paper primary topic

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

## Paper topics

- [Advanced Text Analysis Techniques](https://scholariq.org/topics/advanced-text-analysis-techniques/)
- [Topic Modeling](https://scholariq.org/topics/topic-modeling/)
- [Natural Language Processing Techniques](https://scholariq.org/topics/natural-language-processing-techniques/)

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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.