# Vectorization of Text Documents for Identifying Unifiable News Articles

**Type:** Papers  
**Canonical URL:** https://scholariq.org/papers/vectorization-of-text-documents-for-identifying-unifiable-news-articles/

## Facts

| Field | Value |
| --- | --- |
| Author Names | Anita Singh,Shashi Mogalla |
| Citations | 117 |
| DOI | 10.14569/ijacsa.2019.0100742 |
| Fields | Computer Science |
| Open Access | true |
| OA Status | diamond |
| OA URL | http://thesai.org/Downloads/Volume10No7/Paper_42-Vectorization_of_Text_Documents.pdf |
| OpenAlex ID | https://openalex.org/W2964938584 |
| Type | article |
| Year | 2019 |

## Paper authors

- [Anita Singh](https://scholariq.org/researchers/anita-singh/)

## Paper journal

- [International Journal of Advanced Computer Science and Applications](https://scholariq.org/journals/international-journal-of-advanced-computer-science-and-applications/)

## Paper primary topic

- [Topic Modeling](https://scholariq.org/topics/topic-modeling/)

## Paper topics

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