# Sentiment analysis on public opinion of electric vehicles usage in Indonesia using support vector machine algorithms

**Type:** Papers  
**Canonical URL:** https://scholariq.org/papers/sentiment-analysis-on-public-opinion-of-electric-vehicles-usage-in-indonesia/

## Facts

| Field | Value |
| --- | --- |
| Author Names | Naufal Avilandi Poedjimartojo,Dita Pramesti,Riska Yanu Fa’rifah |
| Citations | 9 |
| DOI | 10.36055/tjst.v19i2.21967 |
| Fields | Computer Science,Engineering |
| Open Access | true |
| OA Status | gold |
| OA URL | https://doi.org/10.36055/tjst.v19i2.21967 |
| OpenAlex ID | https://openalex.org/W4399424011 |
| Type | article |
| Year | 2023 |

## Paper authors

- [Dita Pramesti](https://scholariq.org/researchers/dita-pramesti/)

## Paper journal

- [Teknika Jurnal Sains dan Teknologi](https://scholariq.org/journals/teknika-jurnal-sains-dan-teknologi/)

## Paper primary topic

- [Sentiment Analysis and Opinion Mining](https://scholariq.org/topics/sentiment-analysis-and-opinion-mining/)

## Paper topics

- [Sentiment Analysis and Opinion Mining](https://scholariq.org/topics/sentiment-analysis-and-opinion-mining/)
- [Energy Load and Power Forecasting](https://scholariq.org/topics/energy-load-and-power-forecasting/)
- [Traffic Prediction and Management Techniques](https://scholariq.org/topics/traffic-prediction-and-management-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.