# Sentiment Classification on Twitter Data Using Support Vector Machine

**Type:** Papers  
**Canonical URL:** https://scholariq.org/papers/sentiment-classification-on-twitter-data-using-support-vector-machine/

## Facts

| Field | Value |
| --- | --- |
| Author Names | Sheeba Naz,Aditi Sharan,Nidhi Malik |
| Citations | 84 |
| DOI | 10.1109/wi.2018.00-13 |
| Fields | Computer Science |
| Open Access | false |
| OA Status | closed |
| OpenAlex ID | https://openalex.org/W2909810581 |
| Type | conference-paper |
| Year | 2018 |

## Paper authors

- [Nidhi Malik](https://scholariq.org/researchers/nidhi-malik/)

## 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/)
- [Spam and Phishing Detection](https://scholariq.org/topics/spam-and-phishing-detection/)
- [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.