# Deep LDA : A new way to topic model

**Type:** Papers  
**Canonical URL:** https://scholariq.org/papers/deep-lda-a-new-way-to-topic-model/

## Facts

| Field | Value |
| --- | --- |
| Author Names | Muzafar Rasool Bhat,Majid Kundroo,Tanveer A. Tarray,Basant Agarwal |
| Citations | 54 |
| DOI | 10.1080/02522667.2019.1616911 |
| Fields | Computer Science |
| Open Access | false |
| OA Status | closed |
| OpenAlex ID | https://openalex.org/W2955328590 |
| Type | article |
| Year | 2019 |

## Paper authors

- [Muzafar Rasool Bhat](https://scholariq.org/researchers/muzafar-rasool-bhat/)
- [Majid Kundroo](https://scholariq.org/researchers/majid-kundroo/)

## Paper journal

- [Journal of Information and Optimization Sciences](https://scholariq.org/journals/journal-of-information-and-optimization-sciences/)

## 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/)
- [Text and Document Classification Technologies](https://scholariq.org/topics/text-and-document-classification-technologies/)

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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.