# Detection and Scoring of Internet Slangs for Sentiment Analysis Using SentiWordNet

**Type:** Papers  
**Canonical URL:** https://scholariq.org/papers/detection-and-scoring-of-internet-slangs-for-sentiment-analysis-using/

## Facts

| Field | Value |
| --- | --- |
| Author Names | Muhammad Zubair Asghar |
| Citations | 60 |
| DOI | 10.6084/m9.figshare.1609621.v1 |
| Fields | Computer Science |
| Open Access | true |
| OA Status | green |
| OA URL | https://figshare.com/articles/journal_contribution/Detection_and_Scoring_of_Internet_Slangs_for_Sentiment_Analysis_Using_SentiWordNet/1609621 |
| OpenAlex ID | https://openalex.org/W2274323834 |
| Type | article |
| Year | 2015 |

## Paper authors

- [Muhammad Zubair Asghar](https://scholariq.org/researchers/muhammad-zubair-asghar/)

## 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/)
- [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/)

---
Source: ScholarIQ — public research metadata, principally OpenAlex. See https://scholariq.org/sources/ for provenance and https://scholariq.org/methodology/ for what these figures mean.