# Improving Semantic Coherence of Gujarati Text Topic Model Using Inflectional Forms Reduction and Single-letter Words Removal

**Type:** Papers  
**Canonical URL:** https://scholariq.org/papers/improving-semantic-coherence-of-gujarati-text-topic-model-using-inflectional/

## Facts

| Field | Value |
| --- | --- |
| Author Names | Uttam Chauhan,Apurva Shah |
| Citations | 6 |
| DOI | 10.1145/3447760 |
| Fields | Computer Science |
| Open Access | false |
| OA Status | closed |
| OpenAlex ID | https://openalex.org/W3134798880 |
| Type | article |
| Year | 2021 |

## Paper authors

- [Uttam Chauhan](https://scholariq.org/researchers/uttam-chauhan/)

## Paper journal

- [ACM Transactions on Asian and Low-Resource Language Information Processing](https://scholariq.org/journals/acm-transactions-on-asian-and-low-resource-language-information-processing/)

## 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/)
- [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.