# Optimization of Sentiment Analysis Using Teaching-Learning Based Algorithm

**Type:** Papers  
**Canonical URL:** https://scholariq.org/papers/optimization-of-sentiment-analysis-using-teaching-learning-based-algorithm/

## Facts

| Field | Value |
| --- | --- |
| Author Names | Abdullah Muhammad,Salwani Abdullah,Nor Samsiah Sani |
| Citations | 18 |
| DOI | 10.32604/cmc.2021.018593 |
| Fields | Computer Science |
| Open Access | true |
| OA Status | diamond |
| OA URL | https://file.techscience.com/ueditor/files/cmc/TSP_CMC_69-2/TSP_CMC_18593/TSP_CMC_18593.pdf |
| OpenAlex ID | https://openalex.org/W4255487993 |
| Type | article |
| Year | 2021 |

## Paper authors

- [Abdullah Muhammad](https://scholariq.org/researchers/abdullah-muhammad/)

## Paper journal

- [Computers, materials & continua/Computers, materials & continua (Print)](https://scholariq.org/journals/computers-materials-and-continua-computers-materials-and-continua-print/)

## Paper primary topic

- [Rough Sets and Fuzzy Logic](https://scholariq.org/topics/rough-sets-and-fuzzy-logic/)

## Paper topics

- [Rough Sets and Fuzzy Logic](https://scholariq.org/topics/rough-sets-and-fuzzy-logic/)
- [Text and Document Classification Technologies](https://scholariq.org/topics/text-and-document-classification-technologies/)
- [Sentiment Analysis and Opinion Mining](https://scholariq.org/topics/sentiment-analysis-and-opinion-mining/)

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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.